Load forecasting via detrending and deseasoning

Branislav Vuksanovic, Pedro Martin

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    Load forecasting is a term usually applied to describe a process of estimation or prediction of future energy demand for a certain distribution grid or part of a grid. Large number of different methods and techniques used for load forecasting have been developed in the past and new and improved methods are regularly being reported in research literature. This paper describes one of traditional load forecasting approaches based on autoregressive moving average (ARMA) modelling of load demand time-series (TS). However, it reconsiders each step in this process and proposes some new procedures to improve and clarify the whole method. Effectives of described approach is demonstrated using energy consumption measurements recently recorded at substations in central London area.
    Original languageEnglish
    Title of host publicationProceedings of the 2017 International Conference on Circuits, System and Simulation
    PublisherIEEE
    ISBN (Electronic)978-1538603925
    ISBN (Print)978-1538603932
    DOIs
    Publication statusPublished - 31 Aug 2017
    Event7th International Conference on Circuits, System and Simulation: ICCSS 2017 - London, United Kingdom
    Duration: 14 Jul 201717 Jul 2017
    http://www.iccss.org/

    Conference

    Conference7th International Conference on Circuits, System and Simulation
    Country/TerritoryUnited Kingdom
    CityLondon
    Period14/07/1717/07/17
    Internet address

    Keywords

    • load forcasting
    • stochastic modelling
    • autoaggressive moving average model
    • trend
    • seasonality

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