ABSTRACT
Accurate models for electric power load forecasting are essential to the operation and planning of a utility company. The load forecasting helps an electric utility to make important decisions, including decisions on purchasing and generating electric power, load switching, and infrastructure development. The forecasts for different time horizons are important for different operations within a utility company. Neural networks are essentially low-level computational structures and algorithms that offer good performance in dealing with sensory data. Fuzzy reasoning usually performed using if-then rules. The fuzzy rules define the connection between input and output fuzzy variables. The Electrical long-term peak load demand forecasting using a developed adaptive neuro-fuzzy inference system.
