A Short-Term Wind Power Prediction Method of Multiple Output Model

doi:10.11930/j.issn.1004-9649.2016.12.127.06

Abstract

Abstract: Accurate wind power prediction is important for power system planning and operation. Based on extensive wind power historical data, a new short-term prediction method of multiple output model is proposed by combing correlation analysis and K-Nearest Neighbor algorithm. Taken field measurement data from two wind farms in Northeast region as example, the two multi-step prediction methods are evaluated by using index defined by National Energy Board. The results show high precision and simplicity of proposed method.

Key words: wind power, correlation analysis, K-Nearest Neighbors, short-term, prediction

CLC Number:

TM614

YANG Mao, DONG Juncheng. A Short-Term Wind Power Prediction Method of Multiple Output Model[J]. Electric Power, 2016, 49(12): 127-132.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.12.127.06

https://www.electricpower.com.cn/EN/Y2016/V49/I12/127

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