[1]
|
USING THE ARIMA FORECASTING METHOD
|
|
NULL |
|
|
[2]
|
Optimal design and economic feasibility of rooftop photovoltaic energy system for Assuit University, Egypt
|
|
Ain Shams Engineering …,
2022 |
|
|
[3]
|
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review
|
|
… Applications of Artificial …,
2022 |
|
|
[4]
|
Load Forecasting Techniques for Power System: Research Challenges and Survey
|
|
IEEE Access,
2022 |
|
|
[5]
|
Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model
|
|
Energies,
2022 |
|
|
[6]
|
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach
|
|
PeerJ Computer Science,
2022 |
|
|
[7]
|
Review and Analysis of Machine Learning Based Techniques for Load Forecasting in Smart Grid System
|
|
… Intelligent Approaches for …,
2022 |
|
|
[8]
|
Short-Term Power Load Forecasting Model Based on t-SNE Dimension Reduction Visualization Analysis, VMD and LSSVM Improved with Chaotic Sparrow Search …
|
|
Journal of Electrical Engineering & …,
2022 |
|
|
[9]
|
Short-term load forecasting in the presence of grid uncertainties using new methods based on deep learning
|
|
Smart Electrical and Mechanical Systems,
2022 |
|
|
[10]
|
Determination of Metabolic Rate from Physical Measurements of Heart Rate, Mean Skin Temperature and Carbon Dioxide Variation
|
|
… University Journal of …,
2022 |
|
|
[11]
|
Power System Operation and Control: A Data-Driven Approach
|
|
… International Conference on …,
2022 |
|
|
[12]
|
Разработка моделей прогнозирования электропотребления и генерации ГЭС на среднесрочную перспективу в изолированных энергосистемах …
|
|
2022 |
|
|
[13]
|
Analisis peramalan kebutuhan energi listrik sektor industri di Jawa Timur dengan metode regresi linear
|
|
JURNAL ELTEK,
2022 |
|
|
[14]
|
Güç sistemlerinin yük tahmini analizinde uzun kısa süreli bellek metodunun kullanılması ve uygulaması
|
|
2021 |
|
|
[15]
|
Short-term load prediction model for electrical power distribution network
|
|
2021 |
|
|
[16]
|
Load Forecasting for the Moroccan Electricity Sector
|
|
2021 |
|
|
[17]
|
A Review on Energy Forecasting Algorithms Crucial for Energy Industry Development and Policy Design
|
|
Energy Sources, Part A: Recovery, Utilization, and …,
2021 |
|
|
[18]
|
Machine Learning and GIS Approach for Electrical Load Assessment to Increase Distribution Networks Resilience
|
|
Energies,
2021 |
|
|
[19]
|
A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
|
|
2020 |
|
|
[20]
|
Load Forecasting using Quadratic Regression Model for Energy Management in Distribution Networks
|
|
2020 |
|
|
[21]
|
Understanding the Impact of COVID-19 on Electrical Demand
|
|
2020 |
|
|
[22]
|
Towards modified entropy mutual information feature selection to forecast medium-term load using a deep learning model in smart homes
|
|
2020 |
|
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[23]
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A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
|
|
2020 |
|
|
[24]
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Decentralized Bioinspired Non-Discrete Model for Autonomous Swarm Aggregation Dynamics
|
|
2020 |
|
|
[25]
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Technical and Economical Feasibility of the Proposed Assiut University Rooftop PhotoVoltaic Installation
|
|
2019 |
|
|
[26]
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Non-parametric Regression Model for Continuous-time Day Ahead Load Forecasting with Bernstein Polynomial
|
|
2019 |
|
|
[27]
|
A Deep Learning CNN and AI-Tuned SVM for Electricity Consumption Forecasting: Multivariate Time Series Data
|
|
2019 |
|
|
[28]
|
Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting
|
|
2019 |
|
|
[29]
|
Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization
|
|
2019 |
|
|
[30]
|
Medium Term Load Forecasting Using Statistical Feature Self Organizing Maps (SOM)
|
|
2019 |
|
|
[31]
|
A Hybrid Neural Network Model for Power Demand Forecasting
|
|
2019 |
|
|
[32]
|
Medium term load forecasting in South Africa using Generalized Additive models with tensor product interactions
|
|
2018 |
|
|
[33]
|
Forecasting China's Coal Power Installed Capacity: A Comparison of MGM, ARIMA, GM-ARIMA, and NMGM Models
|
|
Sustainability,
2018 |
|
|
[34]
|
Application of Artificial Neural Network and Empirical Mode Decomposition for Predications of Hourly Values of Active Power Consumption
|
|
Advanced Technologies, Systems, and Applications III,
2018 |
|
|
[35]
|
Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines
|
|
Knowledge-Based Systems,
2018 |
|
|
[36]
|
Analyzing and Forecasting Electrical Load Consumption in Healthcare Buildings
|
|
Energies,
2018 |
|
|
[37]
|
Nonparametric Estimations and Predictions
|
|
2018 |
|
|
[38]
|
Profiling and disaggregation of electricity demands measured in MV distribution networks
|
|
2017 |
|
|
[39]
|
A Flexible Mixed Additive-Multiplicative Model for Load Forecasting in a Smart Grid Setting
|
|
2017 |
|
|
[40]
|
Optimising cost and availability estimates at the bidding stage of performance-based contracting
|
|
2017 |
|
|
[41]
|
A Comparative Study of Regression Analysis and Artificial Neural Network Methods for Medium-Term Load Forecasting
|
|
2017 |
|
|
[42]
|
Prediction of energy load profiles
|
|
2017 |
|
|
[43]
|
Forecasting of Chinese Primary Energy Consumption in 2021 with GRU Artificial Neural Network
|
|
Energies,
2017 |
|
|
[44]
|
Anero-Fuzzy model for mid-term electricity forecasting demand in Khartoum State
|
|
2017 |
|
|
[45]
|
Towards smart energy systems: application of kernel machine regression for medium term electricity load forecasting
|
|
SpringerPlus,
2016 |
|
|
[46]
|
Approches multi-modèle pour la prévision de la charge électrique à moyen long terme
|
|
2016 |
|
|
[47]
|
Mid-Long Term Load Forecasting using Multi-Model Artificial Neural Networks
|
|
International Journal on Electrical Engineering & Informatics ,
2016 |
|
|
[48]
|
Feature selection and optimization of artificial neural network for short term load forecasting
|
|
2016 |
|
|
[49]
|
Análisis de Variables Temporales para la Predicción del Consumo Eléctrico
|
|
2015 |
|
|
[50]
|
Análisis de Variables Temporales para la Predicción del Consumo Eléctrico.
|
|
Energía: Revista Técnica,
2015 |
|
|
[51]
|
Classification of Electricity Load Forecasting Based on the Factors Influencing the Load Consumption and Methods Used: An-overview
|
|
2015 |
|
|
[52]
|
Short-Term Electrical Load Forecasting for Iraqi Power System based on Multiple Linear Regression Method.
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International Journal of Computer Applications,
2014 |
|
|
[53]
|
Short-Term Electrical Load Forecasting for Iraqi Power System based on Multiple Linear Regression Method
|
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International Journal of Computer Applications,
2014 |
|
|
[54]
|
Medium-Term Load Forecasting Of Covenant University Using The Regression Analysis Methods
|
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Journal of Energy Technologies and Policy,
2014 |
|
|
[55]
|
Subspace Projection Method Based Clustering Analysis in Load Profiling
|
|
Power Systems, IEEE Transactions on (Volume:29,Issue: 6) ,
2014 |
|
|
[56]
|
Electricity Demand Forecasting: An Essential Tool for Power System Planning, Operation and Control
|
|
International Journal of Productivity Management and Assessment Technologies (IJPMAT),
2014 |
|
|
[57]
|
WEIGHTED PREDICTION METHOD WITH MULTIPLE TIME SERIES USING MULTI-KERNEL LEAST SQUARES SUPPORT VECTOR REGRESSION METODA WA?ONEJ PREDYKCJI WIELOKROTNYCH SzEREGóW CzASOWYCH z WYKORzYSTANIEM WIELOJ?DROWEJ REGRESJI WEKTORóW WSPIERAJ?CYCH METOD? NAJMNIEJSzYCH KWADRATóW (LS-SVR)
|
|
EKSPLOATACJA I …,
2013 |
|
|
[58]
|
Weighted prediction method with multiple time series using multi-kernel least squares support vector regression
|
|
Eksploatacja i …,
2013 |
|
|
[59]
|
Forecasting domestic hourly load profiles using vector regressions
|
|
2013 |
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