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Doctoral Research Fellow

Hao Chen

PhD candidate in machine learning and renewable energy Department of Technology and Safety
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Renewable energy, machine learning, weather system, climate change

  1. “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.
  2. “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.
  3. “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.

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