Integration of photovoltaic generation for large industrial consumers connected to distribution systems

Abstract

Technological advances in solar photovoltaic generation have considerably reduced equipment costs in new facilities, which is why this research focuses on determining the generation capacity through the use of existing infrastructure, solar radiation measurements and demand, to meet the demand for electrical energy through the application of forecasting models with the use of data analytics techniques and neural networks in order to determine the technical benefit in product quality, the reduction of demand peaks, mitigate transmission losses and provide greater reliability to the electrical system of the industry and utility.