Photovoltaic power prediction method based on similar day and long and short term time sequence network

• Main Authors: BAI HUIFENG, YUAN JIANAN, ZHENG LIBIN, YIN ZHIBIN, DING XIAO, XIE FAN, YU KEXIN, LUO ANQIN, LIU HAO, HUO CHAO, ZHANG NAN
• Format: Patent
• Language: Chinese; English
• Published: 24.05.2024
• Subjects: 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; ELECTRIC DIGITAL DATA PROCESSING; 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

The invention relates to the field of photovoltaic power generation power prediction, and provides a photovoltaic power prediction method based on a similar day and long and short term time sequence network. The method comprises the following steps: preprocessing historical photovoltaic power and me...