Bilde av Chen, Hao
Bilde av Chen, Hao
Department of Physics and Technology hao.chen@uit.no +4777644895 Tromsø TEK 1.040

Hao Chen


Research Assistant Professor in data science empowered climate mitigation and adaptation, ESG Economist

Job description

Research on climate mitigation and adaptation, physics-based and advanced data science-driven energy and environment analysis.

ESG Economics


  • Hao Chen :
    Cluster-based ensemble learning for wind power modeling from meteorological wind data
    Renewable & Sustainable Energy Reviews 2022 ARKIV / DOI
  • Hao Chen, Yngve Birkelund, Bjørn-Morten Batalden, Abbas Barabadi :
    Noise-intensification data augmented machine learning for day-ahead wind power forecast
    Energy Reports 2022 ARKIV / DOI
  • Hao Chen, Qixia Zhang, Yngve Birkelund :
    Machine learning forecasts of Scandinavian numerical weather prediction wind model residuals with control theory for wind energy
    Energy Reports 2022 ARKIV / DOI
  • Hao Chen, Reidar Staupe-Delgado :
    Exploiting more robust and efficacious deep learning techniques for modeling wind power with speed
    Energy Reports 2022 ARKIV / DOI
  • Hao Chen :
    A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy
    Energy Reports 2022 ARKIV / DOI
  • Hao Chen, Yngve Birkelund, Zhang Qixia :
    Data-augmented sequential deep learning for wind power forecasting
    Energy Conversion and Management 2021 ARKIV / DOI
  • Hao Chen, Stian Normann Anfinsen, Yngve Birkelund, Fuqing Yuan :
    Probability distributions for wind speed volatility characteristics: A case study of Northern Norway
    Energy Reports 2021 ARKIV / DOI
  • Hao Chen, Yngve Birkelund :
    An Evaluation on Diverse Machine Learning Algorithms for Hourly Univariate Wind Power Prediction in the Arctic
    Journal of Physics: Conference Series (JPCS) 2021 ARKIV / DOI
  • Hao Chen, Yngve Birkelund, Stian Normann Anfinsen, Reidar Staupe-Delgado, Fuqing Yuan :
    Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic
    Scientific Reports 2021 ARKIV / DOI
  • Hao Chen, Yngve Birkelund, Fuqing Yuan :
    Examination of turbulence impacts on ultra-short-term wind power and speed forecasts with machine learning
    Energy Reports 2021 ARKIV / DOI
  • Hao Chen, Yngve Birkelund, Stian Normann Anfinsen, Fuqing Yuan :
    Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region
    Journal of Renewable and Sustainable Energy 2021 ARKIV / DOI
  • Hao Chen :
    Impact of increasing share of wind energy on Nordic electrical energy market predictions
    2022 ARKIV

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    Research interests

    Renewable Energy, Machine Learning, Climate Change, Complexity, Climate Mitigation and Adaptation

    Teaching

    FYS-2017 Sustainable Energy

    SIK-2004 Quality, Health, Safety and Environmental Management

    Field Courses on Climate Mitigation and Adapation