Modelling electricity production structure in Poland

Modelowanie struktury wytwarzania energii elektrycznej w Polsce
Janusz Sowiński

    Streszczenie
    The basis of the conducted analysis were the data on electricity production balance, including the structure of
    electricity production. The data used for calculations include monthly electricity production figures from power plants
    (thermal and hydro electric power plants, wind farms), independent power producers and industrial power stations. In this
    paper, two predictive models are applied – a prediction method using Adaptive Neuro-Fuzzy Inference System (ANFIS), and
    a method using stochastic differential equations (SDE), which make it possible to make medium-term projections of electricity
    production and its structure, thus providing the basis for energy mix analysis. The results of estimations and verification
    of the developed models are presented, as well as examples of prediction results. The results were compared to the projection
    provided in the draft of Polityka Energetyczna Polski do 2040 roku PEP2040 (Poland’s Energy Policy until 2040). An attempt
    was also made to answer the question whether the models based only on historical time series may serve as a valid
    basis for the analysis of electricity production structure, and whether such models are capable of adequately describing the
    processes in power engineering under uncertainty and risk.
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