Neural network forecasting of energy generation by solar panels
oleh: S. M. Stepanov, N. A. Iskra
| Format: | Article |
|---|---|
| Diterbitkan: | Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01 |
Deskripsi
The main purpose of this paper is analysis of various regression methods application on quality of short-term solar PV forecasting. Multilayer perceptron and decision trees were chosen in order to solve prediction problem. Real historical data on solar PV forecasting are used as experimental datasets. The best coefficient of determination was 0.94.