Ensemble Learning-Based Day-Ahead Power Forecasting of Distributed Photovoltaic Generation

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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Bibliographic Details
Main Authors: Yijuan LIU, Yunlong CHEN, Jiyan LIU, Xuemei ZHANG, Xiaoyu WU, Weizheng KONG
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2022-09-01
Series:Zhongguo dianli
Subjects:
photovoltaic output forecasting
extreme learning machine
integrated learning
k-means
day-ahead forecasting
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202204083

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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202204083

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