A Medium-Term Probabilistic Model for Forecasting Loads with a Small Proportion of Air-Conditioners

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In this paper, a medium term forecasting model is proposed, intended to be used for the extrapolation of loads containing small proportion of air-conditioners. The main feature of the proposed model is the decomposition of the weekly load observations into two independent components: trend line and seasonal variations. The trend line is described by the combination of the polynomial regression and the first order autoregressive model.
    Original languageEnglish
    Pages (from-to)57-67
    Number of pages11
    JournalElectric Power Systems Research
    Volume29
    Issue number1
    Publication statusPublished - Jan 1994

    Keywords

    • Medium-term forecasting; trend and seasonal variations; autoregressive model; generalised least squares

    Fingerprint

    Dive into the research topics of 'A Medium-Term Probabilistic Model for Forecasting Loads with a Small Proportion of Air-Conditioners'. Together they form a unique fingerprint.

    Cite this