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.
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electronics and Telecommunication Engineering of East West University, Dhaka, Bangladesh
