Robinson Reinoso-Acosta

Active Power Demand Forecasting for an Electric Power System Using Machine Learning Algorithms for Medium-Term Expansion Planning

This work incorporated socioeconomic exogenous variables, such as quarterly GDP, population, and access to electricity, which improved the medium-term forecasting model and may be useful for both the operation and planning of the electric power system (EPS).