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Communication Dans Un Congrès Année : 2021

Multi-Objective Optimization for Electrical Demand Forecasting

Résumé

Electrical load forecasting is a key component of energy management system, playing a critical role in power scheduling, peak reduction, and power system management. The accuracy of the load forecast has a significant effect on the efficiency of energy management systems in terms of making optimal control decisions. In this paper, our contribution is the proposal of a Multi-Objective Optimization approach to improve the accuracy of an Artificial Neural Network-based electricity demand forecasting model.
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Dates et versions

hal-04088943 , version 1 (04-05-2023)

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  • HAL Id : hal-04088943 , version 1

Citer

Imane Ihsane, Ahmed NAIT CHABANE. Multi-Objective Optimization for Electrical Demand Forecasting. 14th International Conference on Multiple Objective Programming and Goal Programming., Dec 2021, En ligne, France. ⟨hal-04088943⟩
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