Electrical Load Forecasting Using Fuzzy System

dc.contributor.author	Faysal, Mahir
dc.contributor.author	Murad, Md. Mohiuddin
dc.contributor.author	Islam, Md. Jahirul
dc.date.accessioned	2021-12-23T04:09:26Z
dc.date.available	2021-12-23T04:09:26Z
dc.date.issued	2019-04-30
dc.identifier.uri	http://dspace.ewubd.edu:8080/handle/123456789/3351
dc.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	en_US
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	East West University	en_US
dc.relation.ispartofseries	;ECE00219
dc.subject	Load forecasting; Short-term load forecasting; Long-term load forecasting; Fuzzy system	en_US
dc.title	Electrical Load Forecasting Using Fuzzy System	en_US
dc.type	Thesis	en_US