Electricity demand forecasting of a micro grid using ANN

Due to the increased usage of renewables, nowadays, researches are focused on smart grid technologies. Among those micro grids are getting popular. It is a critical subject to plan the future production and consumption on a micro grid. On the other hand electrical load forecasting is imperative for planning a micro grid. In this study ANS Campus area of the Afyon Kocatepe University is considered as a micro grid and it is aimed to forecast the hourly electricity demand of the campus area. The campus are includes some loads in different characteristics since the area has different buildings such as; residential buildings, education buildings, laboratories, research centers, hospitals and social buildings. The electricity demand is predicted using Artificial Neural Networks. The actual season, time and electricity consumption are considered as inputs of the network and the next hour demand is predicted. The results show that the proposed approach is well performed in such applications.