Regularized CRPS-Based Weight Learning for Integrating Probabilistic Wind Power Predictions from Ensemble Weather Forecasts

Shieri Okuyama

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-AG Applied Geosciences

[M-AG40] Renewable Energy

Thu. May 28, 2026 9:00 AM - 10:30 AM 102 (International Conference Hall, Makuhari Messe)

Chairperson:Ohba Masamichi(Central Research Institute of Electric Power Industry)

10:15 AM - 10:30 AM

[MAG40-05] Regularized CRPS-Based Weight Learning for Integrating Probabilistic Wind Power Predictions from Ensemble Weather Forecasts

*Shieri Okuyama¹, Yu Fujimoto¹, Nanae Kaneko¹, Yasuhiro Hayashi¹, Hayato Suzuki², Hidetoshi Ishii², Yuta Yoshida³, Satoshi Nakashima³, Nobutoshi Nishio³, Jun Suzuki³ (1. Waseda University, 2. J-POWER Business Service Corporation, 3. J-POWER/Electric Power Development Co., Ltd.)

Keywords:Ensemble Weather Forecast, Wind Power Generation, Probability Distribution Prediction, CRPS