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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Bibliographic Details

Published in:	Energies (Basel) Vol. 13; no. 10; p. 2640
Main Authors:	Park, Rae-Jun, Song, Kyung-Bin, Kwon, Bo-Sung
Format:	Journal Article
Language:	English
Published:	MDPI AG 01.05.2020
Subjects:	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 Access:	Get full text
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