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  • Methods and models for electric load forecasting [Elektronski vir] : a comprehensive review
    Hammad, Mahmoud A. ...
    Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and plays a crucial role in electric capacity scheduling and power systems management and, therefore, it ... has attracted increasing academic interest. Hence, the accuracy of electric load forecasting has great importance for energy generating capacity scheduling and power system management. This paper presents a review of forecasting methods and models for electricity load. About 45 academic papers have been used for the comparison based on specified criteria such as time frame, inputs, outputs, the scale of the project, and value. The review reveals that despite the relative simplicity of all reviewed models, the regression analysis is still widely used and efficient for long-term forecasting. As for short-term predictions, machine learning or artificial intelligence-based models such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Fuzzy logic are favored.
    Source: Logistics & sustainable transport [Elektronski vir]. - ISSN 2232-4968 (Vol. 11, iss. 1, Feb. 2020, str. 51-76)
    Type of material - e-article
    Publish date - 2020
    Language - english
    COBISS.SI-ID - 513089597

    Link(s):

    https://doi.org/10.2478/jlst-2020-0004
    Digitalna knjižnica Slovenije - dLib.si
    DOI

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