Now showing items 1-5 of 5

    • Constraint-Guided Machine Learning for Solving Optimal Power Flow Problem 

      Lotfi, Amir (University of Waterloo, 2022-08-31)
      Due to the nonlinear and non-convex attributes of the optimization problems in power systems such as Optimal Power Flow (OPF), traditional iterative optimization algorithms require significant amount of time to converge ...
    • Data-Driven Inverse Optimization with Applications in Electricity Markets 

      Rafieepouralavialavijeh, Ali (University of Waterloo, 2023-01-19)
      Due to the increasing penetration of renewable resources and demand response instruments in the electricity markets, generation planning models have become more complex and require detailed information on the inherent ...
    • Energy Management Systems for Multi-Microgrid Networks Under Uncertainties 

      Ceja-Espinosa, Carlos (University of Waterloo, 2023-08-08)
      Environmental concerns have motivated a gradual transformation of power systems in recent years, mainly focused on replacing fossil fuel-based energy sources with Renewable Energy Sources (RESs) such as solar and wind ...
    • Impacts of COVID-19 on Ontario's Electricity Market 

      Elsarague, Menna (University of Waterloo, 2022-01-05)
      The COVID-19 outbreak has not only threatened global health but has also significantly affected the energy sector. Most countries around the world have faced sudden changes in the electricity load as a result of the strict ...
    • Planning of Multi-Microgrids Considering Uncertainties and Spatial Characteristics 

      Vera, Enrique (University of Waterloo, 2023-03-13)
      Global warming is a serious issue that is being tackled from various fronts, one of them is the decarbonization of electrical energy systems, which may be addressed by introducing clean Distributed Energy Sources (DERs) ...

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