A data sample division method for wind power prediction based on China's 24 solar terms

Author:

Han Shuang1,Zhang Luna2ORCID,Liu Yongqian1,Ma Yuanchi1,Yan Jie1,Li Li1

Affiliation:

1. School of Renewable EnergyNorth China Electric Power University Beijing China

2. China Datang, Renewable Energy Test and Research Institute Co, Ltd Beijing China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference47 articles.

1. Wind power forecasting uncertainty and unit commitment

2. Information gap decision theory approach to deal with wind power uncertainty in unit commitment

3. Wind energy: forecasting challenges for its operational management;Pinson P;Stat,2013

4. A very short term wind power forecasting approach based on numerical weather prediction and error correction method 2016 China International Conference on Electricity Distribution (CICED);Peng X;IEEE,2016

5. Short-term wind power forecasting using ridgelet neural network

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