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Optimal Prediction Intervals of Wind Power Generation

Engineering and Technology

Optimal Prediction Intervals of Wind Power Generation

C. Wan, Z. Xu, et al.

Discover a groundbreaking approach to wind power forecasting that directly optimizes prediction intervals without the need for statistical assumptions. This innovative research by Can Wan, Zhao Xu, Pierre Pinson, Zhao Yang Dong, and Kit Po Wong promises to revolutionize the reliability and flexibility of wind energy in power systems.... show more
Citation Metrics
Citations
335
Influential Citations
15
Reference Count
42
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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