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Insights into advanced models for energy poverty forecasting

Nature Energy volume 8, pages 903–905 (2023)Cite this article

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The growing importance of long-term planning in European Union member states’ energy poverty policies makes it necessary to develop forecasting techniques to support related policy decision-making. The combination of machine learning and econometrics holds promise in the field provided that several crucial challenges are tackled.

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  • 01 March 2024

    In the version of the article initially published, the sentence “Long-term projections of economic indicators may be obtained by aligning energy poverty forecasting models with models such as EUROMOD” was updated for clarity.

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Authors and Affiliations

  1. Institute for Economic Research, Ljubljana, Slovenia

    Montserrat González Garibay, Kaja Primc & Renata Slabe-Erker

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  1. Montserrat González Garibay
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  2. Kaja Primc
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  3. Renata Slabe-Erker
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Correspondence to Kaja Primc.

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González Garibay, M., Primc, K. & Slabe-Erker, R. Insights into advanced models for energy poverty forecasting. Nat Energy 8, 903–905 (2023). https://doi.org/10.1038/s41560-023-01311-x

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  • DOI: https://doi.org/10.1038/s41560-023-01311-x

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