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Short-Term Load Demand Modeling and Forecasting: A Review
IEEE Transactions on Systems, Man, and Cybernetics, 1982Both the off-line and on-line methods for short-term electric load forecasting are reviewed. Since identifying an adequate model is the most important problem of any forecasting technique, the literature is classified according to the modeling approaches used for representing the load demand.
Mohamed A. Abu-El-Magd, Naresh K. Sinha
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Kernel Regression Based Short-Term Load Forecasting
2006Electrical load forecasting is an important tool in managing transmission and distribution facilities, financial resources, manpower, and materials at electrical power utility companies. A simple and accurate electrical load forecasting scheme is required. Short-term load forecasting (STLF) involves predicting the load from few hours to a week ahead. A
Vivek Agarwal +2 more
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WRL: A Combined Model for Short-Term Load Forecasting
2019Load forecasting plays a vital role in economic construction and national security. The accuracy of short-term load forecasting will directly affect the quality of power supply and user experience, and will indirectly affect the stability and safety of the power system operation.
Yuecan Liu +4 more
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Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks
IEEE Transactions on Smart Grid, 2021Weixuan Lin, Di Wu, Benoit Boulet
exaly
Load Autoformer: A Transformer architecture for short-term load forecasting
2023 IEEE Sustainable Power and Energy Conference (iSPEC), 2023Yuzhe Huang +4 more
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Short-term load forecasting based on LSTM networks considering attention mechanism
International Journal of Electrical Power and Energy Systems, 2022Jin Ma, Jianguo Zhu
exaly
Short-Term Load Forecasting Using Random Forests
2015This study proposes using a random forest model for short-term electricity load forecasting. This is an ensemble learning method that generates many regression trees (CART) and aggregates their results. The model operates on patterns of the time series seasonal cycles which simplifies the forecasting problem especially when a time series exhibits ...
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Applications of random forest in multivariable response surface for short-term load forecasting
International Journal of Electrical Power and Energy Systems, 2022Guo-Feng Fan, Wei-Chiang Hong
exaly
Short term electricity load forecasting using hybrid prophet-LSTM model optimized by BPNN
Energy Reports, 2022Haoyong Chen, Muhammad Faizan Tahir
exaly