Next-hour electrical load forecasting using an artificial neural network: Applicability in the Philippines

Abstract

Load forecasting remains as an important activity for the power systems industry, being a critical ystem. With the increasing amount of implemented microgrids across the Philippines, there is merit in investigating localized load forecasting schemes for use in assigning the dispatch of the microgrid’s resource at any given time. This study reviews the use of an artificial neural network (ANN) as a next-hour load forecasting method in the Philippine setting.