e-space
Manchester Metropolitan University's Research Repository

    An empirical investigation of water consumption forecasting methods

    Karamaziotis, Panagiotis I, Raptis, Achilleas, Nikolopoulos, Konstantinos, Litsiou, Konstantia and Assimakopoulos, Vassilis (2020) An empirical investigation of water consumption forecasting methods. International Journal of Forecasting, 36 (2). pp. 588-606. ISSN 0169-2070

    [img]
    Preview
    Accepted Version
    Available under License Creative Commons Attribution Non-commercial No Derivatives.

    Download (1MB) | Preview

    Abstract

    Many regions on earth face daily limitations in the quantity and quality of the water resources available. As a result, it is necessary to implement reliable methodologies for water consumption forecasting that will enable the better management and planning of water resources. This research analyses, for the first time, a large database containing data from 2 million water meters in 274 unique postal codes, in one of the most densely populated areas of Europe, which faces issues of droughts and overconsumption in the hot summer months. Using the R programming language, we built and tested three alternative forecasting methodologies, employing univariate forecasting techniques including a machine-learning algorithm, with very promising results.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    259Downloads
    6 month trend
    115Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record