Electrical Load Forecasting Using Fuzzy System

Abstract

In this project work, we develop a Fuzzy system to forecast electrical load in both short and longterm basis. Here, we consider temperature, humidity, seasons of a year and time segments of a day as the parameters govern the demand of electrical load. For each of the parameter, we use several membership functions (MF) as necessary then apply Mamdani rule on MF and the output is determined by using centroid method. Finally, the surface plot reveals the real scenario of the load demand. The concept of the paper can be applied in interconnected power system of Bangladesh to reduce power loss especially when generation is higher than the demand.