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Load forecasting based on short-term correlation clustering
2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2017Load forecasting is the basis not only of power system stable and safe operation, but also of power demand side intelligent electricity management. Short-term correlation analysis can be used to mine the electricity consumption of a period of time. The analysis of similar electricity consumption can improve the effect of load forecasting.
Shun Tao +3 more
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Short-Term Load Forecasting based on ResNet and LSTM
2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2018Recent development of artificial intelligence (AI) makes AI applicable to diverse fields, and the smart grid is not an exception. In particular, there have been extensive researches on load forecasting using deep learning. Most existing studies have been conducted on deep neural network (DNN) and recurrent neural network (RNN).
Hyungeun Choi +2 more
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A hierarchical neural model in short-term load forecasting
Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks, 2002This paper proposes a novel neural model for the short-term load forecasting problem. The neural model is made up of two self-organizing map nets-one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role. The model was trained and assessed on the load data extracted
Otávio Augusto Salgado Carpinteiro +1 more
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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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Neighbor histories for short term electrical load forecasting
2001 European Control Conference (ECC), 2001This paper shows the application of the Neighbor Histories (NH) algorithm to the problem of short term electrical load forecasting in a utility company. This algorithm is a simple application of embedding theorems recently used in chaotic time series prediction.
Manuel R. Arahal, Eduardo F. Camacho
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Interactive short-Term Load Forecasting
1982The 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.
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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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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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Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks
IEEE Transactions on Smart Grid, 2021Di Wu, Benoit Boulet
exaly