Planificação da matriz energética de Moçambique até 2045, baseando-se em redes neurais

Abstract

In recent years, growing awareness of the environment issues has driven the search for more sustainable energy alternatives, emphasizing the reduction of fossil fuel dependency and the integration of renewable energy sources into the energetic matrix for electricity production. In Mozambique, a country with vast and diverse energy potential, this transition represents a strategic opportunity to develop a more balanced and resilient energy system. This study proposes an innovative approach to national energy matrix planning, utilizing artificial intelligence techniques. Specifically, artificial neural networks are employed to forecast energy demand, followed by mapping installed capacities, and projecting future growth. Based on these projections, an optimization process is conducted to determine the ideal share of each energy source, considering economic and environmental criteria. The results suggest that artificial intelligence tools can significantly contribute to the development of a more efficient, sustainable, and future oriented energy matrix for the country.