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 meteorological data and real-time photovoltaic power and meteorological data, and selecting similar days based on the preprocessed historical photovoltaic power and meteorological data, and inputting the selected similar days, the pre-processed photovoltaic power and meteorological data and predicted meteorological data into the long and short term time sequence network for photovoltaic power generation power prediction to obtain a photovoltaic power generation power curve of several days in the future. According to the invention, accurate prediction of the photovoltaic power generation power can be realized. 本发明涉及光伏发电功率预测领域，提供一种基于相似日与长短期时间序列网络的光伏功率预测方法。所述方法包括：对历史的光伏功率和气象数据以及实时的光伏功率和气象数据进行预处理，基于预处理的历史光伏功率和气象数据选取相似日，将