Short-Term Load Forecasting Algorithm Using a Similar Day Selection Method Based on Reinforcement Learning

Short-term load forecasting (STLF) is very important for planning and operating power systems and markets. Various algorithms have been developed for STLF. However, numerous utilities still apply additional correction processes, which depend on experienced professionals. In this study, an STLF algor...

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Veröffentlicht in:	Energies (Basel) Jg. 13; H. 10; S. 2640
Hauptverfasser:	Park, Rae-Jun, Song, Kyung-Bin, Kwon, Bo-Sung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 01.05.2020
Schlagworte:	backpropagation neural network (BPNN) deep Q-network (DQN) long short-term memory (LSTM) reinforcement learning algorithm short-term load forecasting
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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