Renewable energy, machine learning, weather system, climate change
- “A Comparative Study on Machine Learning Algorithms for Hourly Univariate Wind Power Forecasting in Arctic Regions”, Hao Chen and Yngve Birkelund. ICGEA conference, Singapore (Online), March 6-9, 2021. Presented and in production.
- “Examination of turbulence impacts in ultra-short-term wind power and speed forecasts with machine learning”, Hao Chen, Yngve Birkelund and Fuqing Yuan. CEEGE conference, Munich, June 10-13, 2021. Accepted.
- “Probability distributions for wind speed fluctuation characteristics-A case study of Northern Norway”, Hao Chen, Stian Normann Anfinsen, Yngve Birkelund and Fuqing Yuan. TMREES conference, May 19-21, Athens, 2021. Accepted.