Model for Projection of Energy Consumption according to the Energy Balance of Peru, to Propose a New Energy Alternative for a Nanogrid System in DC, Applying Neural Networks

Jesús Beltrán Castañón N.; Rony Hurtado Arhuata H.; Churata Huaraya J.; Dario Montes Apaza R.; Manuel Ramos Cutipa J. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/laccei2024.1.1.1696

Resumen

The discovery of natural gas (pagoreni, camisea), international agreements (Brazil) and the promotion of non-conventional energies have transformed the Peruvian energy matrix. These changes have allowed the identification of new energy resources and the diversification of energy generation, driving a change in consumption patterns in different sectors. The introduction of new energy potentials in the Peruvian market requires comprehensive strategies that consider political, technical, economic and social aspects. The advantages of these energies, such as sustainability, efficiency and safety, must be taken advantage of to overcome the difficulties of insertion and achieve a positive effect as an energy alternative. The study presents a comprehensive vision of Peru's energy future, combining the potential of natural gas and direct current nanogrids. A path is proposed towards a more sustainable, diversified and secure energy matrix, which boosts the economy and development of the country [9]. The study uses a robust projection model that combines different techniques and tools for energy demand prediction. This approach allows for greater precision and flexibility in modeling, resulting in better energy planning and more effective decision-making in the sector.

Instituciones: Universidad Nacional del Altiplano; Universidad Nacional de Juliaca