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[1]
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A novel non-intrusive load monitoring technique using semi-supervised deep learning framework for smart grid
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Building Simulation,
2024 |
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[2]
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Non-energy feedback: The unseen impacts of sensory, social, material and systemic feedback on household energy demand
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Energy Research & Social Science,
2024 |
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[3]
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Non-Intrusive Load Monitoring Based on Multiscale Attention Mechanisms
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Energies,
2024 |
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[4]
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GraphNILM: A Graph Neural Network for Energy Disaggregation
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Pacific-Asia Conference on Knowledge …,
2024 |
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[5]
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Incremental Learning Based on VI Trajectory Feature for Non-Intrusive Load Monitoring
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2023 IEEE 7th Conference on …,
2023 |
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[6]
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The future of road safety: challenges and opportunities
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The Milbank Quarterly,
2023 |
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[7]
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A multi-output LSTM-CNN learning scheme for power disaggregation within a NILM framework
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2023 IEEE 21st International …,
2023 |
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[8]
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Appropriation de technologies pour la transition énergétique: apports de l'approche instrumentale pour la conception
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Activités,
2023 |
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[9]
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Incremental Learning for Appliance Identification Based on VI Trajectory Signature
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2023 8th International …,
2023 |
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[10]
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Low-Frequency Unsupervised Non-Intrusive Load Monitoring for Industrial Loads
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2023 |
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[11]
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Shifting energy cultures: Do household electricity consumption patterns change after adoption of solar PV?
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2023 |
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[12]
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Deep Co-Training for Semi-supervised Non-Intrusive Load Monitoring based on VI Trajectory
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2023 8th Asia …,
2023 |
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[13]
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Demographic Factors Related to the Acceptance of Energy Dynamic Tariff in the State of Texas
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2023 |
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[14]
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A System Design for Automated Tailoring of Behavior Change Recommendations Using Time-Series Clustering of Energy Consumption Data
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1st Persuasive AI Workshop: In …,
2023 |
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[15]
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Review of Serious Energy Games: Objectives, Approaches, Applications, Data Integration, and Performance Assessment
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Energies,
2023 |
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[16]
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An Overview of Non-Intrusive Load Monitoring Based on VI Trajectory Signature
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Energies,
2023 |
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[17]
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Influences of occupant preferences for living environments on household energy consumption: A case study of Indonesia
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Energy and …,
2023 |
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[18]
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Non-intrusive load monitoring based on residual U-Net and conditional generation adversarial networks
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IEEE Access,
2023 |
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[19]
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Encouraging Trust in Demand-Side Management via Interaction Design: An Automation Level Based Trust Framework
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Energies,
2023 |
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[20]
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Adaptive Multi-timescale Event Detection in Non-Intrusive Load Monitoring based on Minimum Description Length Principle
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IEEE Transactions on …,
2023 |
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[21]
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Event-driven non-intrusive load monitoring algorithm based on targeted mining multidimensional load characteristics
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China Communications,
2023 |
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[22]
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Influencing residential electricity consumption with tailored messages: Long-term usage patterns and effects on user experience
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Energy, Sustainability …,
2023 |
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[23]
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A learnable image-based load signature construction approach in NILM for appliances identification
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IEEE Transactions on …,
2023 |
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[24]
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Advancing the Cyberinfrastructure for Smart Water Metering and Water Demand Modeling
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2022 |
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[25]
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Designing Smart Energy Systems in an Industry 4.0 Paradigm towards Sustainable Environment
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Sustainability,
2022 |
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[26]
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An analysis of smart meter technologies for efficient energy management in households and organizations
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Energy Reports,
2022 |
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[27]
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Does electricity consumption make happy? The emotional dimensions of time-scaled electricity consumption graphs for household appliances
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Energy Conversion and …,
2022 |
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[28]
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Local Energy Markets in Action: Smart Integration of National Markets, Distributed Energy Resources and Incentivisation to Promote Citizen Participation
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Energies,
2022 |
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[29]
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What roles do smart sensors play in citizens' water use? From the perspective of household water-saving
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Water Supply,
2022 |
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[30]
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Using Feedback on Computer States to Improve Power Management Behaviors
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Energy Efficiency in …,
2022 |
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[31]
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Environmental and Architectural Psychology: The Basics
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2022 |
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[32]
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Demand Side Management
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Bejerano, E Trujillo-Baute… - Smart Grid Economics and …,
2022 |
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[33]
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Multi-timescale event detection in nonintrusive load monitoring based on MDL principle
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arXiv preprint arXiv:2211.10721,
2022 |
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[34]
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“While the sun's shining”: weather, practical knowledge and everyday practices in Australian households with solar PV and battery storage
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2022 |
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[35]
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Reinforcement Learning for Optimal Energy Control in Data Center Operations
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2022 |
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[36]
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IOT smart single wall outlet
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2022 |
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[37]
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Communicating energy consumption: developing a low-cost, real-time, SMS feedback tool for off-grid household electricity consumption
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Sustainable Fuel Technologies …,
2021 |
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[38]
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Residential Consumer Understanding of Electricity Bills: The Case of the Indian Consumer
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International Journal of Asian Business and …,
2021 |
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[39]
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The Economics of Smart Metering Across the European Countries. a First Assessment
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2021 |
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[40]
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Centralized Power Monitoring & Management System of an Institution Based on Android App
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… and Mechatronics for …,
2021 |
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[41]
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Supporting Grocery Shopping to Achieve a Healthy and Sustainable Diet–How Developing a Behavioural Theory Informs Dynamic Smartphone Applications
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2021 |
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[42]
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Non-Intrusive Load Monitoring for High Power Consuming Appliances using Neural Networks
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… on Electrical, Control …,
2021 |
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[43]
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Appliance Classification using BiLSTM Neural Networks and Feature Extraction
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Delval, H Sun, PC Matthews… - 2021 IEEE PES …,
2021 |
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[44]
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Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations
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IEEE Access,
2021 |
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[45]
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Reducing Peak Energy Demand among Residents Who Are Not Billed for Their Electricity Consumption: Experimental Evaluation of Behaviour Change Interventions …
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International Journal of Environmental …,
2021 |
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[46]
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IoTivity Cloud-Enabled Platform for Energy Management Applications
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IoT,
2021 |
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[47]
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Curvature scale space-based signatures for electrical load classification in NILM
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2021 |
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[48]
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Analysis of Information Feedback on Residential Energy Conservation and the Implications: The Case of China
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Frontiers in Environmental Science,
2021 |
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[49]
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An approach to residential energy savings using IoT and Cloud Computing to provide real-time feedback
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2021 |
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[50]
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Problems of adoption of solar power and subsequent switching behavior: An exploration in India
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International Journal of Energy Sector …,
2021 |
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[51]
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Reducing peak energy demand among residents who are not billed for their electricity consumption: experimental evaluation of behaviour change …
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International Journal of Environmental …,
2021 |
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[52]
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Saving water at Cape Town schools by using smart metering and behavioral change
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2021 |
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[53]
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E 2.0: AWE PSS
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2021 |
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[54]
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Multi-Feature based Development of a Power-Disaggregation Algorithm for Dairy Farms
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2021 |
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[55]
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Envirofy your Shop: Development of a Real-time Tool to Support Eco-friendly Food Purchases Online
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2021 |
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[56]
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Comparing Interventions to Reduce Boredom in a Low Mental Workload Environment
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2021 |
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[57]
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The impact of green labels on time slot choice and operational sustainability
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2021 |
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[58]
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Creating Environmental Awareness using an Eco-Feedback Application at a Higher Education Institution
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2020 |
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[59]
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“Changing the Game—Neighbourhood”: An Energy Transition Board Game, Developed in a Co-Design Process: A Case Study
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2020 |
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[60]
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Creating Environmental Awareness using an Eco-Feedback Application at a Higher Education
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2020 |
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[61]
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Smart Meter Technology
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2020 |
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[62]
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Analyzing Water Customer Preferences for Online Feedback Technologies in Israel: A Prototype Study
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2020 |
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[63]
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Preferences Regarding a Web-Based, Neighborhood-Level Intervention Program to Promote Household Energy Conservation
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2020 |
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[64]
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Energy Demand Management and Social Norms
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2020 |
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[65]
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A two-way electricity usage monitoring system for decentralised solar mini-grids in Tanzania
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2020 |
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[66]
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Making sense of renewable energy: Practical knowledge, sensory feedback and household understandings in a Scottish island microgrid
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2020 |
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[67]
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1MicroEnergy Systems Research Group, Technical University of Berlin, Berlin, Germany
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2020 |
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[68]
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The Merit-Order Effect of Load-Shifting: An Estimate for the Spanish Market
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2020 |
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[69]
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From intention to action: Habits, feedback and optimizing energy consumption in South Korea
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2020 |
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[70]
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Illuminating energy: Smart lights, householders and intuitive energy data visualization
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2020 |
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[71]
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Things2People Interaction toward Energy Savings in Shared Spaces Using BIM
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2020 |
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[72]
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Quantifying energy consumption in household surveys: An alternative device-based accounting approach
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2020 |
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[73]
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Gamifying knowledge sharing in humanitarian organisations: a design science journey
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2020 |
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[74]
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Going green: the effect of green labels on delivery time slot choices
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2020 |
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[75]
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A methodology to improve energy efficiency and comfort conditions with low-cost ICTs in rural public buildings
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2020 |
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[76]
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Occupant presence and behavior: A major issue for building energy performance simulation and assessment
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2020 |
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[77]
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Risk and social influence in sustainable smart home technologies: A persuasive systems design model
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2020 |
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[78]
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Understanding the practical issues of deploying energy monitoring and eco-feedback technology in the wild: Lesson learned from three long-term …
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2020 |
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[79]
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Overview And Comparison Of Common Load Identification Models For Non-Intrusive Load Detection
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… Conference on Wavelet …,
2020 |
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[80]
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Assinaturas baseadas no espaço de escalas de curvatura aplicadas ao monitoramento não invasivo de cargas elétricas residenciais
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2020 |
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[81]
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Towards Nearly Zero Energy Buildings: The Interrelationships of Materials, People and Operational Energy Demand Practices for Residential Buildings in …
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2020 |
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[82]
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Psychologiczne aspekty zarządzania popytem na energię elektryczną
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2020 |
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[83]
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Assessing the Value Proposition of Disaggregated Electricity Consumption Data through Real-World Deployments
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2019 |
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[84]
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Energy and indoor climate visualisation to encourage households for low carbon living
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2019 |
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[85]
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Effective design of in-home energy efficiency displays: a proposed architecture based on empirical evidence
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2019 |
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[86]
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Cloud-based non-intrusive load monitoring system (NILM)
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Int. J. Eng. Adv. Technol,
2019 |
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[87]
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Non-Intrusive Load Monitoring System Framework and Load Disaggregation Algorithms: A Survey
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2019 |
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[88]
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AN ENERGY CONSERVATION SCHEME BASED ON TARIFF MODERATION
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2019 |
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[89]
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Occupant behaviour: a major issue for building energy performance
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2019 |
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[90]
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Web-Based Two-Way Electricity Monitoring System for Remote Solar Mini-Grids
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2019 |
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[91]
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Energy Reports
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2019 |
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[92]
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Smart home and appliances: State of the art
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2019 |
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[93]
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Impact of social comparison on DSM in Poland
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2019 |
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[94]
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Social Marketing and Residential Electricity Consumption: Every Kilowatt Matters
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2019 |
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[95]
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Saving water at Cape Town schools by using smart metering and behavioural change
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2019 |
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[96]
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Design and Implementation of An Automated Load Scheduling and Monitoring System
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2019 |
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[97]
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Adaptive on-line unsupervised appliance modeling for autonomous household database construction
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2019 |
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[98]
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Analysis of energy consumption profiles in residential buildings and impact assessment of a serious game on occupants' behavior
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2019 |
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[99]
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Risk and Self-Disclosure in Sustainable Persuasive Smart Home Technologies
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2019 |
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[100]
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Effective design of domestic energy efficiency displays: A proposed architecture based on empirical evidence
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2019 |
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[101]
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Real-Time Feedback on Consumer's Behavior: Literature Review
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2019 |
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[102]
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Effective design of in-home displays
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2019 |
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[103]
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Promoting Sustainable Energy Consumption Behavior through Interactive Data Visualizations
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2019 |
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[104]
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Can pecuniary and environmental incentives via SMS messaging make households adjust their electricity demand to a fluctuating production?
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2019 |
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[105]
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Real-time energy visualization system for light commercial businesses
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2019 |
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[106]
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Non-Intrusive Load Monitoring (NILM)–A Recent Review with Cloud Computing
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2019 |
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[107]
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Saving water in schools: evidence on the use of smart water meters and behavioural insights
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2019 |
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[108]
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Application of passive solar design strategies for residential houses with different construction systems in NSW, Australia
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2019 |
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[109]
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Real-time feedback on consumers behavior: literature review
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2019 |
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[110]
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Risk and Self-Disclosure in Sustainable Persuasive Smart Home Technologies.
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2019 |
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[111]
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Energy feedback to domestic consumers: An evidence review for the Smart Energy Research Lab
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2019 |
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[112]
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SCCER-FURIES-Determination of the flexibilisation potential of the electricity demand. ReEL D114b
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2018 |
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[113]
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Smart Water Grids: A Cyber-Physical Systems Approach
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2018 |
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[114]
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Document Version
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2018 |
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[115]
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Water behaviour modelling for efficient ICT-based water management in urban environments: A United Kingdom case study
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2018 |
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[116]
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Design and Implementation of Wireless Smart Home Energy Management System Using Rule-Based Controller
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2018 |
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[117]
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325 Biographical Notes of Contributors
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2018 |
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[118]
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Policy Mapping of German Regions: Assessment of the building sector decarbonization policies in the selected German regions: Berlin, Mecklenburg-Vorpommern and Baden-Württemberg. Analyzing their replication potential to other regions and tothe European level
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Thesis,
2018 |
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[119]
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Designing a smart information system: the influence of feedback on energy conservation persuasion
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2018 |
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[120]
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An Overview of Non-Intrusive Load Monitoring: Approaches, Business Applications, and Challenges
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2018 |
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[121]
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SENSORIZACIÓN Y PSICOLOGÍA SOCIAL APLICADA AL USO DE EDIFICIOS PÚBLICOS PARA LA MEJORA DE SU COMPORTAMIENTO
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CONAMA,
2018 |
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[122]
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A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation
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Applied Energy,
2018 |
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[123]
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Demand Response in Greece: An Introductory Mobile Application
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2018 |
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[124]
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Improved Smart Power Socket for Monitoring and Controlling Electrical Home Appliances
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2018 |
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[125]
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Integrating Renewable Energy with Time Varying Pricing
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2018 |
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[126]
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Water behaviour modelling for efficient ICT-based water management in urban environments: A United Kingdom case study.
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Thesis,
2018 |
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[127]
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Un histogramme cylindrique à changement de forme pour afficher des prévisions de disponibilité de l'énergie
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Pré-publication, Document de travail,
2018 |
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[128]
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MEJORA DE LA EFICIENCIA ENERGÉTICA EN EDIFICIOS PÚBLICOS A TRAVÉS DE INMÓTICA SOCIAL
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REHABEND 2018 Congress: Construction Pathology, Rehabilitation Technology and Heritage Management,
2018 |
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[129]
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7 Gamified Approaches for Water Management Systems: An Overview
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Smart Water Grids: A Cyber-Physical Systems Approach,
2018 |
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[130]
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Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response
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Energies,
2018 |
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[131]
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Domesticating in home displays in selected British and Norwegian households
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2018 |
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[132]
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Critical Success Factors for Peak Electricity Demand Reduction: Insights from a Successful Intervention in a Small Island Community
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Journal of Consumer Policy,
2018 |
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[133]
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Longitudinal assessment of the behavior-changing effect of app-based eco-feedback in residential buildings
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Energy and Buildings,
2018 |
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[134]
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A computational model for designing energy behaviour change interventions
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User Modeling and User-Adapted Interaction,
2018 |
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[135]
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Can pecuniary and environmental incentives via SMS messaging make households adjust their intra-day electricity demand to a fluctuating production?
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2018 |
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[136]
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Examining community-level collaborative vs. competitive approaches to enhance household electricity-saving behavior
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Energy Efficiency,
2018 |
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[137]
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Towards a smart and sustainable residential energy culture: Assessing participant feedback from a long-term smart grid pilot project
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Energy, Sustainability and Society,
2018 |
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[138]
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A Human Side Of The Smart Grid: Behavior-Based Energy Efficiency From Renters Using Real-Time Feedback And Competitive Performance-Based …
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2018 |
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[139]
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Désagrégation non-intrusive de charges électriques résidentielles
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2018 |
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[140]
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Energie 4.0–Die Digitalisierung der Energiewirtschaft
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Eine empirische Untersuchung zur,
2017 |
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[141]
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Verhalten als kompensatorische Funktion von Einstellung und Verhaltenskosten: Die Person-Situation-Interaktion im Rahmen des Campbell-Paradigmas
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2017 - Dissertation, Magdeburg,
2017 |
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[142]
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Energy monitoring of a SMME photovoltaic power system
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2017 |
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[143]
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An Integrated Behavioural Model towards Evaluating and Influencing Energy Behaviour—The Role of Motivation in Behaviour Demand Response
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Buildings,
2017 |
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[144]
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Providing meaningful waste feedback to larger grocery stores to promote sustainable development
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Thesis,
2017 |
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[145]
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Machine learning for identifying demand patterns of home energy management systems with dynamic electricity pricing
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Applied Sciences,
2017 |
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[146]
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The Influence and Effectiveness of Information Conveying Means in Energy Behavior Interventions
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Energy Procedia,
2017 |
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[147]
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Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours
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2017 |
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[148]
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Move it! How an electric contest motivates households to shift their load profile
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Energy Economics,
2017 |
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[149]
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The voluntary price for the small consumer: Real-time pricing in Spain
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Energy Policy,
2017 |
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[150]
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Willingness to participate in direct load control: The role of consumer distrust
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Applied Energy,
2017 |
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[151]
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Map of Swiss potential for transformation of mobility
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2017 |
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[152]
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Deriving Age Diverse Personas from a Participatory Design Study on Home Electricity Feedback
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CHI EA 2017 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems,
2017 |
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[153]
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Social marketing strategies for renewable energy transitions
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Australasian Marketing Journal (AMJ),
2017 |
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[154]
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Supporting Domestic Energy Conservation in Ontario through Direct Feedback
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2017 |
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[155]
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Advancement of behavioral energy interventions in commercial buildings
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Facilities,
2017 |
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[156]
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Reducing Electricity Use on Campus: The Use of Prompts, Feedback, and Goal Setting to Decrease Excessive Classroom Lighting
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GM Crops & Food,
2017 |
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[157]
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An open IoT platform for the management and analysis of energy data
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Future Generation Computer Systems,
2017 |
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[158]
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How smart do smart meters need to be?
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Building and Environment,
2017 |
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[159]
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Gaming for Earth: Serious games and gamification to engage consumers in pro-environmental behaviours for energy efficiency
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Energy Research & Social Science,
2017 |
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[160]
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Developing A Real-Time Sms Feedback Tool For Off-Grid Household Electricity Consumption
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2017 |
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[161]
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Eine Analyse von Smart-Meter-Informationssystemen vor dem Hintergrund eines psychologischen Modells der selbstregulierten Verhaltensänderung
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2017 |
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