Short-term load probability density prediction method, device and system based on quantile regression

The invention discloses a short-term load probability density prediction method, device and system based on quantile regression, and the method comprises the steps: obtaining a DL-LSTM-A deep network model, wherein the DL-LSTM-A deep network model comprises a plurality of double-layer LSTM network c...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	LYU PENGPENG, TAO XIAOFENG, ZHOU YANG, YANG XUELIANG, DENG LIANGZHU, LIU NIEXUAN, HUANG CHAO, XIONG XIA, LU YANG, SUN MENG, HUANG FUXING, LI YUANHANG, ZHANG QUNXING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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