Results 271 to 280 of about 8,068,929 (298)

Kernel Regression Based Short-Term Load Forecasting

2006
Electrical 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, Anton Bougaev, Lefteri H. Tsoukalas   +2 more
openaire   +1 more source

WRL: A Combined Model for Short-Term Load Forecasting

2019
Load 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, Kun Zhang 0013, Shuai Zhen, Yongming Guan, Yuliang Shi   +4 more
openaire   +1 more source

Interactive short-Term Load Forecasting

1982
The general objective of planning in power system utilities is to ensure a secure and economic energy supply. The prediction of the load curve, usually for one or more days in advance provides the basis of the short-term operation planning.
openaire   +1 more source

Short-Term Load Forecasting Using Random Forests

2015
This 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 ...
openaire   +2 more sources

Load Autoformer: A Transformer architecture for short-term load forecasting

2023 IEEE Sustainable Power and Energy Conference (iSPEC), 2023
Yuzhe Huang, Fan Mo, Zitong Zhang, Chenghan Li, Kan Li   +4 more
openaire   +1 more source

Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks

IEEE Transactions on Smart Grid, 2021
Di Wu, Benoit Boulet, Weixuan Lin
exaly  

Short-term load forecasting

2022
WU DI, XU YI TIAN, CHEN XI, WANG JU, JENKIN MICHAEL, LI HANG, DUDEK GREGORY LEWIS, LIU XUE   +7 more
openaire   +2 more sources

Short-term load forecasting based on LSTM networks considering attention mechanism

International Journal of Electrical Power and Energy Systems, 2022
Jianguo Zhu, Jin Ma
exaly  

Short Term Load Forecasting (STLF)

2023
William Holderbaum, Feras Alasali, Ayush Sinha   +2 more
openaire   +1 more source

Applications of random forest in multivariable response surface for short-term load forecasting

International Journal of Electrical Power and Energy Systems, 2022
Wei-Chiang Hong
exaly