Sökning: "Johannes Rosing"

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  1. 1. Algorithmic Approaches to Output Prediction in a Virtual Power Plant

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johannes Rosing; Oscar Ekhed; [2023]
    Nyckelord :Autoregressive Models; Deep Learning; Machine Learning; Power Output; Random Forest Regression; Strategic Recommendations; Support Vector Regression; Virtual Power Plant;

    Sammanfattning : Virtual Power Plants (VPPs) are an emerging form of technology that allows owners of electricity producing appliances, such as electric vehicles, to partake in a pool of producers of sustainable energy. The Swedish electricity grid owner Svenska Kraftnät hosts a platform where VPPs act as intermediaries between energy producing customers and third party buyers. LÄS MER