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The Optimization Research Approaches for Renewable Energy Output Forecasting

The Optimization Research Approaches for Renewable Energy Output Forecasting

Authors :
Jie SHI
Xiaofei LIU
Source :
发电技术, Vol 40, Iss 1, Pp 78-82 (2019)
Publication Year :
2019
Publisher :
Editorial Department of Power Generation Technology, 2019.

Abstract

Randomness, intermittence and fluctuation are features of new energy, which includes wind energy and solar energy, and power forecasting is an effective solution. The characteristics of wind power output and forecasting model are fully considered to propose piecewise support vector machine (PSVM) and neural network (NN) model; the effort of weather condition on photovoltaic is analyzed to optimize the forecasting model. The case studies from several wind farms and photovoltaic power stations prove that the proposed models have higher precision, which offer support for reliability analysis of power output forecasting.

Details

Language :
English, Chinese
ISSN :
20964528
Volume :
40
Issue :
1
Database :
Directory of Open Access Journals
Journal :
发电技术
Publication Type :
Academic Journal
Accession number :
edsdoj.5a259bd895b843e18b26d31c63891955
Document Type :
article
Full Text :
https://doi.org/10.12096/j.2096-4528.pgt.18141