Short-term load prediction method and system based on ARIMA and CNN-LSTM combined model

The invention discloses a short-term load prediction method and system based on an ARIMA and CNN-LSTM combined model. The method comprises the following steps: collecting historical load data and meteorological data of a park, carrying out data preprocessing on original information, randomly dividin...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	GE YANFENG, LIU ZUOYU, WANG RONGMAO, CHEN QUN, SHOU ZENG, YU TONGWEI, WANG SHUNJIANG, JIN YIFANG, NIU PENGYI, ZHENG WEI, WANG HAO, YU PENG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!