Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Prediction Method of Photovoltaic Building Integration Plate Index Based on ARIMA Model

Download as PDF

DOI: 10.23977/erej.2022.060304 | Downloads: 7 | Views: 505


Wenbo Zhang 1, Zhenyang Li 1


1 Nanjing Institute of Technology, School of Electric Power Engineering, Nanjing, Jiangsu, 211167, China

Corresponding Author

Wenbo Zhang


As an emerging sector, the photovoltaic building integration sector can understand the future development trend of corresponding industries in the sector by predicting the development trend of the sector index. When establishing the time series ARIMA model, this paper first extracts the historical stock closing price as the series, then substitutes the data into the model, and finally trains the model, and applies the trained model to the future stock price prediction.


Time series analysis, ARIMA model, Photovoltaic building integration plate


Wenbo Zhang, Zhenyang Li, Research on Prediction Method of Photovoltaic Building  Integration Plate Index Based on ARIMA Model. Environment, Resource and Ecology Journal (2022) Vol. 6: 32-36. DOI:


[1] Wang yanru. Application of portfolio model in stock price forecasting [D]. Chongqing: Chongqing University, 2018
[2] Yan Fang. Fitting and prediction of ARIMA model of stock price index based on wavelet denoising [D]. Nanchang: Jiangxi University of Finance and economics, 2016
[3] Sun Xianqiang. Application of time series model in stock price prediction [D]. Kunming: Yunnan University, 2016

Downloads: 2163
Visits: 122658

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.