Daily Photovoltaic Power Generation Forecasting Model Based on Random Forest Algorithm for North China in Winter
North China is one of the country’s most important socio-economic centers, but its severe air pollution is a huge concern. In this region, precisely forecasting the daily photovoltaic power generation in winter is essential to improve equipment utilization rate and mitigate effects of power system o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-03-01
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| Series: | Sustainability |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2071-1050/12/6/2247 |