Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting
Konstantin Hopf; Hannah Hartstang; Thorsten Staake · 2023 · arXiv
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Abstract (excerpt)
Forecasting electricity demand plays a critical role in ensuring reliable and cost-efficient operation of the electricity supply. With the global transition to distributed renewable energy sources and the electrification of heating and transportation, accurate load forecasts become even more important. While numerous empirical studies and a handful of review articles exist, there is surprisingly little quantitative analysis of the literature, most notably none that identifies the impact of factors on forecasting performance across the entirety of empirical studies. In this article, we therefor
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Metadata source: arXiv