Electric load forecasting methods: tools for decision making

DOI10.1016/j.ejor.2009.01.062zbMath1176.90291OpenAlexW2001165499MaRDI QIDQ1042255

Stefan Pickl, Heiko Hahn, Silja Meyer-Nieberg

Publication date: 7 December 2009

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2009.01.062

zbMATH Keywords

surveydecision makingenergy marketselectric load forecasting

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

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Cites Work

• Trends in neural computation.
• Introduction to evolutionary computing
• Computational intelligence techniques for short-term electric load forecasting
• Local regression-based short-term load forecasting
• Forecasting electricity demand on short, medium and long time scales using neural networks
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