Medium-term load forecasting with artificial neural network models

Abstract

The latest research and results published in the literature show that the interest in load forecasts has moved from traditional techniques to models that use neural networks and fuzzy systems. This paper describes a new approach to the medium-term load forecasting which uses artificial neural networks and fuzzy techniques. The medium-term load forecast must be understood as the assessment of the power consumption as load profiles with hourly values for 48 characteristic days within a year.