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.