Short-Term Load Forecasting of Distribution Power System for Weekdays Using Old Data
Journal Title: روش های هوشمند در صنعت برق - Year 2014, Vol 5, Issue 18
Abstract
Estimation of daily load in distribution companies which is performed to present the results to the DMS, is necessary. Daily load forecasting of power systems has traditionally been considered. Because load patterns are influenced by several factors such as climate, economy and society, it is difficult to predict the load exactly. That's why in recent years the use of intelligent algorithms to predict it, is growing. In this project, the short-term load forecasting is performed in a hybrid approach. Due to the different behavior in different days, various methods have been used to predict the load. With studying different methods of load prediction, finally, finally exponential smoothing algorithm was used to predict the exact load in the weekdays.
Authors and Affiliations
Bahador Fani, Soleyman Fehresti Sani, Ehsan Adib
Keywords
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