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• W2912497388 abstract "In the last decades, electricity demand of Turkey shows a deterministic rising which can be mathematically modelled by the help of population, meteorological and economic parameters. In this study, an artificial neural network model was developed by using only time dependent electrical demand series in monthly resolution. In the model, only time series were used as input in training, but not population, meteorological, and economical parameters. Forecasting of annual gross electricity energy demand was estimated succesfully by the model under 1% average error." @default.
• W2912497388 created "2019-02-21" @default.
• W2912497388 creator A5011524613 @default.
• W2912497388 creator A5054107213 @default.
• W2912497388 date "2018-09-01" @default.
• W2912497388 modified "2023-09-26" @default.
• W2912497388 title "Forecasting short-term electricity demand of Turkey by artificial neural networks" @default.
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• W2912497388 doi "https://doi.org/10.1109/idap.2018.8620861" @default.
• W2912497388 hasPublicationYear "2018" @default.
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