دانلود مقاله Short-Term Load Forecasting in Power Systems Using Emotional Critic Based Fuzzy Approach
سال انتشار: ۱۳۸۲
محل انتشار: هجدهمین کنفرانس بین المللی برق
تعداد صفحات: ۸
Farzan Rashidi – Control Research Department, Engineering Research Institute of JERCEN, Tehran, Iran
Mehran Rashidi – Hormozgan Regional Electric Co. Bandar-Abbas, Iran
Hamid Monavar – Hormozgan Regional Electric Co. Bandar-Abbas, Iran
In this paper we present an application of emotional learning to short term load forecasting. Emotional learning is a family of intelligent algorithms which can be used for time series prediction, classification, control and identification. This method is applied to short term load forecasting for actual data. The method is relatively simple, and effectively uses historical data to provide load forecasts. Simulation results confirm good accuracy of the emotional learning approach to load forecasting.