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LOAD FORECASTING OF ADAMA UNIVERSITY BYIMPLEMENTING FUZZY LOGIC CONTROLLER
[摘要] 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.
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[关键词] Neural Network;Fuzzy logic;Load forecasting. [时效性] 
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