A simulated-based genetic algorithm for the forecasting of monthly peak electricity demand
DOI10.1504/IJOR.2017.10002081zbMath1362.90359MaRDI QIDQ2627810
Noure-Roukayya Badurally Adam, Mohammad Khalil Elahee, Muhammad Zaid Dauhoo
Publication date: 31 May 2017
Published in: International Journal of Operational Research (Search for Journal in Brave)
humiditymodellingsimulationgenetic algorithmstemperaturemean square errorGDPdemand forecastingmultiple regressiongross domestic productmauritiusminimum root MSEMRMSEpeak electricity demandsunshine hours
Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Consumer behavior, demand theory (91B42)
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