Support vector regression based on grid-search method for short-term wind power forecasting

Support vector regression based on grid-search method for short-term wind power forecasting

The purpose of this paper is to investigate the short-term wind power forecasting. STWPF is a typically complex issue, because it is affected by many factors such as wind speed, wind direction, and humidity. This paper attempts to provide a reference strategy for STWPF and to solve the problems in e...

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Bibliographic Details
Main Authors: Zhang, Hong, Chen, Lixing, Qu, Yong, Zhao, Guo, Guo, Zhenwei
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2018
Subjects:
Wind Power Forecasting
Support Vector Regression (SVR)
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/87598
http://hdl.handle.net/10220/46771

Internet

https://hdl.handle.net/10356/87598
http://hdl.handle.net/10220/46771

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