A combination method for photovoltaic power forecasting based on entropy weight method

作者：Yang, Xiyun^*; Liu, Huan; Zhang, Bin; Chen, Song

来源：Acta Energiae Solaris Sinica, 2014, 35(5): 744-749.

• Amount of information
• Combination forecasting models
• Combination weights
• Combined forecasts
• Entropy weight method
• Forecasting precision
• Power forecasting
• PV plants

A Combination method for PV Power forecasting Based on entropy weight method was proposed. Firstly, three different forecasting models were investigated for PV power prediction in this paper. They are persistence method, support vector machine (SVM) and prediction method based on similar data. Then entropy weight method was used to acquire the combination weights by evaluating the amount of information of the methods mentioned above objectively. Finally, the combination forecasting model of PV power was established. Case study results showed that the combination method for PV power forecasting based on entropy weight method effectively identifies the amount of information of different forecasting methods and obtains appropriate combination weights. As a result, the proposed method will improve forecasting precision.

• 出版日期2014-5
• 单位华北电力大学