Next 24-Hours Load Forecasting for the Western Area of Saudi Arabia Using Artificial Neural Network and Particle Swarm Optimization

Abstract

This paper presents an effective load forecasting model for the western area of Saudi Arabia (WESA). Weather, load demand, wind speed, wind direction, heat, sunlight and so on are quite different in a desert land than other places. Thus this model is different from typical forecasting model considering inputs and outputs. Two models are implemented: firstly, a load forecasting model for prediction, however, is not sufficient for accurate forecasting, and, secondly, an optimization process to improve the results to be at least better than existing results.