Unveiling the backbone of the renewable energy forecasting process: Exploring direct and indirect methods and their applications

Van Poecke, Aaron, Tabari, Hossein and Hellinckx, Peter, (2024). Unveiling the backbone of the renewable energy forecasting process: Exploring direct and indirect methods and their applications. Energy Reports, 11 554-557

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  • Sub-type Journal article
    Author Van Poecke, Aaron
    Tabari, Hossein
    Hellinckx, Peter
    Title Unveiling the backbone of the renewable energy forecasting process: Exploring direct and indirect methods and their applications
    Appearing in Energy Reports
    Volume 11
    Publication Date 2024-06-01
    Place of Publication Amesterdam
    Publisher Elsevier B.V.
    Start page 554
    End page 557
    Language eng
    Abstract A myriad of techniques regarding renewable energy forecasting have been proposed in recent literature, commonly classified as physical, statistical, machine learning based or a hybrid form thereof. The renewable energy forecasting process is however elaborate and consists of multiple stages, where different approaches from these four categories apply variably, complicating a holistic classification of the process. This paper resolves this by utilizing the fundamental difference between direct and indirect forecasting in terms of model complexity, data availability, spatial and time horizons as the backbone to structure this intricate forecasting process. As such, a significant step towards a generalized framework for renewable energy forecasting is presented. Additionally, a most promising recommendation emerges: leveraging physics-based knowledge from indirect models to enhance training of direct methods.
    Keyword Renewable energy
    Direct forecasting
    Indirect forecasting
    Modeling
    Solar energy
    Wind energy
    Copyright Holder author(s)
    Copyright Year 2024
    Copyright type Creative commons
    DOI 10.1016/j.egyr.2023.12.031
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    Created: Fri, 27 Sep 2024, 05:00:12 JST by Haideh Beigi on behalf of UNU INWEH