• Electricity Demand Forecasting with Gaussian Process Regression 

      Skagestad, Runar (Master thesis, 2018)
      For participants in the energy industry, it is vital to have access to reliable forecasts of future energy demands. The predictive routines should necessarily cope with local, transient fluctuations as well as considerable ...
    • Short-Term Electric Load Forecasting Using Artificial Neural Networks 

      Tyvold, Torfinn Skarvatun (Master thesis, 2018)
      Short-term forecasting of power consumption is an important tool for decision makers in the energy sector. Power load forecasting is a challenging multi-step ahead time series forecasting problem since the power load is ...