Treffer: LOAD FORECASTING OF ADAMA UNIVERSITY BY IMPLEMENTING FUZZY LOGIC CONTROLLER

Load forecasting is very important task in for the developing countries, to utilize the power more efficiently. In the developing countries like India, Ethiopia, Ghana, there is lot of power is wasting in the generation, and transmission and distribution. It is due to mainly lack of forecasting the daily load. In this paper we had conducted a practical experiment to estimate load demand of Adama Science and Technology University, Ethiopia. In this paper we are using the short term load forecasting. The data we collected from the ASTU is the previous year data. To analysis the results we used the Mandani model in the Fuzzy logic methods. To reduce the error of the load forecasting of the fuzzy method has been used with the Artificial Neural Network. The error range is reduced nearly 3%. The programs have been ruined in the Matlab environment. Keywords: Neural Network, Fuzzy logic, Load forecasting. I INTRODUCTION FORECASTING for vision load demand prerequisite is the most imperative key for power system planning. The ability of the generation, transmission and distribution capacities are strictly dependant on the precise energy and load forecasting for that system Power system expansion planning starts with a forecast of anticipated future load requirements. Estimates of both demand and energy requirements are crucial to valuable system planning. The term forecast refers to projected load requirements determined using a systematic process of defining future loads in sufficient quantitative detail to permit important system expansion decisions to be made. The Energy Management System demands accurate load forecasting and short term Load Forecasting provides better and truthful results To predict the load forecasting there are many types of method are there in the present industry. The fore casting may do based on the time period. Long Term Forecasting, in this type of forecasting the forecasting period is long may be for 10 years. The planning of maintenance, scheduling of the fuel supply etc. calls for ...