Photovoltaic building integration industry index statistics and modeling forecast analysis

Fanxin Meng; Wenying Zheng; Ziyue Lu; Ziqing Zhang

doi:10.1117/12.2656841

13 January 2023 Photovoltaic building integration industry index statistics and modeling forecast analysis

Fanxin Meng, Wenying Zheng, Ziyue Lu, Ziqing Zhang

Proceedings Volume 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022); 125100L (2023) https://doi.org/10.1117/12.2656841
Event: International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 2022, Qingdao, China

Abstract

According to the stock data of photovoltaic building integration related companies of China Southern Power, a five-day, ten-day, and 20-day moving average model is established for the photovoltaic building integration sector index, and the model is drawn according to the established model on April 1, 2019. The moving average of the sector index through April 30, 2021. Using the data from May 6 to May 28, 2021, the error analysis of the established model is carried out and the model is revised. According to the revised model, the future development trend of the sector is predicted, and the 20 trading days after May 28 are given. daily moving average, 3-week weekly moving average, and 2-month monthly moving average. A technical indicator used to observe the trend of changes in security prices, helping traders to confirm the existing trend, judge the trend that will appear, and find the trend that is overextended and is about to reverse.

Citation Download Citation

Fanxin Meng, Wenying Zheng, Ziyue Lu, and Ziqing Zhang "Photovoltaic building integration industry index statistics and modeling forecast analysis", Proc. SPIE 12510, International Conference on Statistics, Data Science, and Computational Intelligence (CSDSCI 2022), 125100L (13 January 2023); https://doi.org/10.1117/12.2656841

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