Isolated Area Load Forecasting using Linear Regression Analysis: Practical Approach

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Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
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"Isolated Area Load Forecasting using Linear Regression Analysis: Practical Approach"
written by M. A. Mahmud,
published by Energy and Power Engineering, Vol.3 No.4, 2011

has been cited by the following article(s):

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[30]	Modeling, planning, application and management of energy systems for isolated areas: A review
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[3]	Short-term energy consumption prediction of electric vehicle charging station using attentional feature engineering and multi-sequence stacked Gated Recurrent Unit Computers and Electrical Engineering, 2023 DOI:10.1016/j.compeleceng.2023.108694

[4]	Research on short-term load forecasting of new-type power system based on GCN-LSTM considering multiple influencing factors Energy Reports, 2023 DOI:10.1016/j.egyr.2023.05.048

[5]	Short-Term Power Load Forecasting Based on VMD-Pyraformer-Adan IEEE Access, 2023 DOI:10.1109/ACCESS.2023.3273596

[6]	Short-term energy consumption prediction of electric vehicle charging station using attentional feature engineering and multi-sequence stacked Gated Recurrent Unit Computers and Electrical Engineering, 2023 DOI:10.1016/j.compeleceng.2023.108694

[7]	Research on short-term load forecasting of new-type power system based on GCN-LSTM considering multiple influencing factors Energy Reports, 2023 DOI:10.1016/j.egyr.2023.05.048

[8]	Short Term Power Load Forecasting Method Based on VMD-ResNet 2023 5th International Conference on Power and Energy Technology (ICPET), 2023 DOI:10.1109/ICPET59380.2023.10367630

[9]	Machine Learning Algorithms for Load Forecasting Based on Big Data 2023 11th International Conference on ENERGY and ENVIRONMENT (CIEM), 2023 DOI:10.1109/CIEM58573.2023.10349757

[10]	Short-Term Three-Phase Load Prediction With Advanced Metering Infrastructure Data in Smart Solar Microgrid Based Convolution Neural Network Bidirectional Gated Recurrent Unit IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3185747

[11]	Implementation of Encoder-Decoder based Long Short-Term Memory Network for Short-Term Electrical Load Forecasting 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), 2022 DOI:10.1109/STI56238.2022.10103285

[12]	Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches Energy for Sustainable Development, 2022 DOI:10.1016/j.esd.2021.11.007

[13]	Short-Term Three-Phase Load Prediction With Advanced Metering Infrastructure Data in Smart Solar Microgrid Based Convolution Neural Network Bidirectional Gated Recurrent Unit IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3185747

[14]	Implementation of Encoder-Decoder based Long Short-Term Memory Network for Short-Term Electrical Load Forecasting 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), 2022 DOI:10.1109/STI56238.2022.10103285

[15]	A Short-Term Load Forecasting Technique Using Extreme Gradient Boosting Algorithm 2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), 2021 DOI:10.1109/ISGTAsia49270.2021.9715272

[16]	Short-term Tie-line Power Prediction Based on CNN-LSTM 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), 2020 DOI:10.1109/EI250167.2020.9346998

[17]	Short Term Electric Load Forecasting Using High Precision Convolutional Neural Network 2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE), 2020 DOI:10.1109/ICCECE48148.2020.9223102

[18]	Short-Term Load Forecasting Based on SARIMAX-LSTM 2020 5th International Conference on Power and Renewable Energy (ICPRE), 2020 DOI:10.1109/ICPRE51194.2020.9233117

[19]	Temporal Convolutional Network Based Short-term Load Forecasting Model 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS), 2020 DOI:10.1109/DDCLS49620.2020.9275148

[20]	Short-term load forecasting of multi-layer LSTM neural network considering temperature fuzzification 2020 IEEE Sustainable Power and Energy Conference (iSPEC), 2020 DOI:10.1109/iSPEC50848.2020.9351188

[21]	A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market Journal of Physics: Conference Series, 2019 DOI:10.1088/1742-6596/1176/6/062068

[22]	Assessment of feature selection for student academic performance through machine learning classification Journal of Statistics and Management Systems, 2019 DOI:10.1080/09720510.2019.1609729

[23]	Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates Energies, 2019 DOI:10.3390/en12183488

[24]	A hybrid model based on convolutional neural network and long short-term memory for short-term load forecasting 2019 IEEE Power & Energy Society General Meeting (PESGM), 2019 DOI:10.1109/PESGM40551.2019.8973549

[25]	Electric Load Forecasting with Hourly Precision Using Long Short-Term Memory Networks 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019 DOI:10.1109/ECACE.2019.8679244

[26]	Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates Energies, 2019 DOI:10.3390/en12183488

[27]	Modeling, planning, application and management of energy systems for isolated areas: A review Renewable and Sustainable Energy Reviews, 2018 DOI:10.1016/j.rser.2017.09.063

[28]	A Study on the Suitability of Load Demand Forecasting Models for Island Area Using Weather Variables New & Renewable Energy, 2017 DOI:10.7849/ksnre.2017.6.13.2.084

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