Power system partition load demand prediction method, system and device and storage medium

The invention discloses a power system partition load demand prediction method, system and device and a storage medium, and the method comprises the steps: collecting historical load demand data and real-time operation data of each partition of a power system according to a pre-established power sys...

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Hauptverfasser: XU DAN, YUAN MUCHEN, DING QIANG, LIU PENG, CUI HUI, HUANG GUODONG, SU MINGYU, LI BO, MA JIAJUN, LI LIXIN, HU XIAOJING, LI LINGHAO, CAI ZHI, XU XIAOTONG, XU SHENGNAN, ZHANG SHUYAN, CHANG JIANG, DAI SAI, ZHANG RUIWEN, WANG LEI, QU FUMIN, LI YUXUAN, HAN BIN, XU XIAO, YANG ZHANYONG, ZHANG JIALI, LI JINGSONG, LU YI, YAN JINGHUA, LI ZHE, ZHANG CHUANCHENG, HU CHENXU, YAN CUIHUI, SHENG CANHUI, YANG XIAONAN, LI YUANYUAN, LI WEIGANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a power system partition load demand prediction method, system and device and a storage medium, and the method comprises the steps: collecting historical load demand data and real-time operation data of each partition of a power system according to a pre-established power system partition load model, carrying out the data preprocessing, and obtaining a training data set and a test data set; training the long-short-term memory network model by using the training data set to obtain a partition load demand prediction model; inputting the test data set into the partition load demand prediction model, and calculating to obtain a future load prediction value of each power system partition; and evaluating the calculated future load prediction value of each power system partition, adjusting related parameters of the power system partition load model and the partition load demand prediction model and a power system partition scheme according to an evaluation result, and solving to obtain a powe