Hydropower generation forecasting in regulated systems using two-stage feature selection

Puntos clave

• The aim is to develop a forecasting methodology for hydroelectric power generation in regulated systems experiencing generation deficits.
• Utilized two-stage feature selection to identify critical factors affecting power generation.
• Focused on operational features of hydroelectric plants and their electrical environment.
• Applied this methodology to regulated hydropower systems.
• Achieved improved accuracy in forecasting power generation.
• Identified key features that significantly impact generation in regulated environments.
• Demonstrated the methodology's effectiveness in addressing generation deficits.