Sökning: "Prognostisering av elspotpriser"

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  1. 1. Evaluating deep learning models for electricity spot price forecasting

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

    Författare :Mia Zdybek; [2021]
    Nyckelord :Time series forecasting; Electricity price forecasting; Machine Learning; Deep learning; Multi-layer perceptron; Long short-term memory; Convolutional neural network; Tidsserieprediktion; Prognostisering av elspotpriser; Maskininlärning; Djupinlärning; Flerskikts-perceptron; Lågt korttidsminne; Neurala faltningsnät;

    Sammanfattning : Electricity spot prices are difficult to predict since they depend on different unstable and erratic parameters, and also due to the fact that electricity is a commodity that cannot be stored efficiently. This results in a volatile, highly fluctuating behavior of the prices, with many peaks. LÄS MER