A Review on the Temporal-Spatial Correlation Based Multiple Horizon Wind Power Forecasting Methods

Author:

Yan Juan,Wu Haiping,Huang Zibo,Zhang Pinjia,Chen Qingsong,Zhu Wenjie,Hu Cungang,Cao Wenping

Publisher

Springer Nature Singapore

Reference63 articles.

1. Hanifi, S., Liu, X., et al.: A critical review of wind power forecasting methods—past, present and future. Energies 13, 3764 (2022)

2. WindEurope: Wind energy in Europe: 2022 Statistics and the outlook for 2023–2027 (2023)

3. Global Wind Energy Council: Global Wind Energy Report 2023 (2023)

4. State Grid Energy Research Institute: China's energy and power development prospect (2022)

5. Luo, Z.: Research on strategies of offshore wind power and energy storage participating in auxiliary power service. Nanchang University (2021)

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