Blar i forfatter "Zhang, Qixia"

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    • Data science in wind energy: a case study for Norwegian offshore wind 

      Chen, Hao; Birkelund, Yngve; Zhang, Qixia (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-17)
      In the digital and green transitions, rapidly growing renewable energies are accumulating more and more data. Big data gives room to apply emerging data science to solve challenges in the energy sector. Offshore wind power receives accelerating attention due to its sufficient resources and cleanness. This paper uses data science, including statistical analysis and machine learning, to systematically ...

    • Machine learning forecasts of Scandinavian numerical weather prediction wind model residuals with control theory for wind energy 

      Chen, Hao; Zhang, Qixia; Birkelund, Yngve (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-22)
      The quality of wind data from the numerical weather prediction significantly influences the accuracy of wind power forecasting systems for wind parks. Therefore, an in-depth investigation of these wind data themselves is essential to improve wind power generation efficiency and maintain grid reliability. This paper proposes a novel framework based on machine learning for concurrently analyzing and ...

    • A southern, middle, and northern Norwegian offshore wind energy resources analysis by a transfer learning method for Energy Internet 

      Chen, Hao; Birkelund, Yngve; Ricaud, Benjamin; Zhang, Qixia (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      As renewable energy sources offshore wind energy develop quickly, countries like Norway with long coastlines are exploring their potential. However, the diverse wind resources across different regions of Norway present challenges for study for effective utilization of offshore wind energy. This study proposes a novel method that utilizes transfer learning techniques to analyse the resource differences ...