Vision Transformer-Based Photovoltaic Prediction Model

Zaohui Kang, Jizhong Xue, Chun Sing Lai (), Yu Wang, Haoliang Yuan () and Fangyuan Xu ()
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Zaohui Kang: Department of Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Jizhong Xue: Department of Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Chun Sing Lai: Department of Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Yu Wang: Department of Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Haoliang Yuan: Department of Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Fangyuan Xu: Department of Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China

Energies, 2023, vol. 16, issue 12, 1-14

Abstract: Sensing the cloud movement information has always been a difficult problem in photovoltaic (PV) prediction. The information used by current PV prediction methods makes it challenging to accurately perceive cloud movements. The obstruction of the sun by clouds will lead to a significant decrease in actual PV power generation. The PV prediction network model cannot respond in time, resulting in a significant decrease in prediction accuracy. In order to overcome this problem, this paper develops a visual transformer model for PV prediction, in which the target PV sensor information and the surrounding PV sensor auxiliary information are used as input data. By using the auxiliary information of the surrounding PV sensors and the spatial location information, our model can sense the movement of the cloud in advance. The experimental results confirm the effectiveness and superiority of our model.

Keywords: photovoltaic prediction; visual transformer; auxiliary information (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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