Improving Power Load Forecasting using FIS

Global energy demand is increasing at a rapid pace. At the same time traditional energy sources such as coal and petroleum are depleting at the same rate, renewable resources are expected to play an increasingly important role in the future. Recent research, advances, and strategies in wind, hydro, and solar energy systems have been covered in detail. The variable electrical output of renewable energy sources has been discovered to be a significant difficulty for the electricity system architecture. As a result, a strategic coordination based on the Fuzzy Inference System (FIS) is proposed to improve the total electrical infrastructure. By taking into account meteorological conditions and energy consumption, two fore casting intervals were used: a) extremely short term, 30 minutes, and b) short term, 60 minutes. It identifies classes for all 24 hours of the day for which load forecasting is required. For 30 and 60 minutes, the difference between actual and anticipated load is less than 3% and 5%, respectively.