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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bozkurt, O.O. Cihan Taysi, Z. Biricik, G. |
| Copyright Year | 2015 |
| Description | Author affiliation: Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., Istanbul, Turkey (Bozkurt, O.O.; Cihan Taysi, Z.; Biricik, G.) |
| Abstract | Forecasting the electric load demand in advance is very important in deregulated market conditions to give proper production, purchase, maintenance and investment decisions. Correct price forecasts also depend on accurate load prediction. In this study, effects of calendar, historical price and load data on short-term load forecast for Turkish Deregulated Electricity market are tested using feed forward neural networks. The impact of each data on forecast performance is evaluated and best performance is obtained using a combination of historical and predicted load, calendar information and historical price information. |
| Starting Page | 569 |
| Ending Page | 572 |
| File Size | 197197 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467373869 |
| DOI | 10.1109/SIU.2015.7129888 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-05-16 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | artificial neural networks Load forecasting Neural networks Predictive models electric market load prediction Mathematical model Forecasting Load modeling |
| Content Type | Text |
| Resource Type | Article |
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