مشخصات پژوهش

صفحه نخست /A fuzzy inference model for ...
عنوان A fuzzy inference model for short-term load forecasting
نوع پژوهش مقاله ارائه شده کنفرانسی
کلیدواژه‌ها ندارد
چکیده This paper is concerned with the short-term load forecasting (STLF) in power system operations. It provides load prediction for generation scheduling and unit commitment decisions, and therefore precise load forecasting plays an important role in reducing the generation cost and the spinning reserve capacity./[1] Forecasting is a significant element in economic system performance and its impact on network power control. Load forecasting with the uses of fuzzy implementation is faster and more accurate than conventional load forecasting methods that deal with huge amount of data and the long time needed to be processed.
پژوهشگران حسن بیورانی (نفر دوم)، صالح احمدی (نفر اول)، هانا جنتی (نفر سوم)