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

• Main Authors: Zhang, Hong, Chen, Lixing, Qu, Yong, Zhao, Guo, Guo, Zhenwei
• Other Authors: School of Electrical and Electronic Engineering
• Format: 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
• Institution: Nanyang Technological University

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...