Reservoir Inflow Prediction System Based on Interval Type-2 Fuzzy Logic

Key Points

• To create a reliable 48-hour forecast system for reservoir inflow using interval type-2 fuzzy logic techniques.
• Developed a rainfall classification model using interval type-2 fuzzy logic.
• Implemented a fuzzy neural network for inflow prediction.
• Conducted evaluations on the accuracy and reliability of the forecasting system over a period.
• Successfully predicted reservoir inflows for up to 48 hours ahead.
• Showed improvements in managing renewable energy variability.
• Demonstrated potential enhancements in hydropower operations during extreme weather events.

Abstract