Power Prediction Model of Photovoltaic Plants Based on Improved GM Model

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Zhang, Yuze^1

School of Business Administration, Hohai University, Changzhou

213022, China^1

关键词: Background value;    Data updating;    GM (1 , 1) model;    Improved GM(1 ,1);    PhotoVoltaic plant;    Power predictions;    Prediction accuracy;    Prediction model;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032053/pdf
DOI  :  10.1088/1757-899X/452/3/032053

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In order to improve the prediction accuracy of GM (1, 1) model of photovoltaic (PV) plants, IAFSA is proposed and used to optimize the background values and initial values directly, and an improved GM (1, 1) prediction model is constructed in combination with the rolling data updating mode. The example of PV plants in service shows that the above-mentioned model is effective and complete, and can improve the prediction accuracy of the GM (1, 1) model.