Ensemble Learning-Based Day-Ahead Power Forecasting of Distributed Photovoltaic Generation
Accurate day-ahead power prediction of photovoltaic generation is helpful to design future scheduling plan of power grid, reduce the impact of new energy generation on power grid and improve the accommodation rate. A day-ahead power forecasting method for photovoltaic generation is proposed based on...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2022-09-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202204083 |
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