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
Hao Chen,
Yngve Birkelund,
Bjørn-Morten Batalden,
Abbas Barabadi
:
Noise-intensification data augmented machine learning for day-ahead wind power forecast
Hao Chen,
Qixia Zhang,
Yngve Birkelund
:
Machine learning forecasts of Scandinavian numerical weather prediction wind model residuals with control theory for wind energy
Hao Chen,
Reidar Staupe-Delgado
:
Exploiting more robust and efficacious deep learning techniques for modeling wind power with speed
Hao Chen
:
A comprehensive statistical analysis for residuals of wind speed and direction from numerical weather prediction for wind energy
Hao Chen,
Yngve Birkelund,
Zhang Qixia
:
Data-augmented sequential deep learning for wind power forecasting
Hao Chen,
Stian Normann Anfinsen,
Yngve Birkelund,
Fuqing Yuan
:
Probability distributions for wind speed volatility characteristics: A case study of Northern Norway
Hao Chen,
Yngve Birkelund
:
An Evaluation on Diverse Machine Learning Algorithms for Hourly Univariate Wind Power Prediction in the Arctic
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
Hao Chen,
Yngve Birkelund,
Fuqing Yuan
:
Examination of turbulence impacts on ultra-short-term wind power and speed forecasts with machine learning
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
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