Electricity Consumption Forecasting in Turkey
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-90421-0_60
Reference23 articles.
1. Hamzaçebi, C., Es, H.A., Çakmak, R.: Forecasting of Turkey’s monthly electricity demand by seasonal artificial neural network. Neural Comput. Appl. 31(7), 2217–2231 (2017). https://doi.org/10.1007/s00521-017-3183-5
2. Haliloğlu, E.Y., Tutu, B.E.: Forecasting daily electricity demand for Turkey. Turkish J. Energy Pol. 3(7), 40–49
3. Fiot, J.B., Dinuzzo, F.: Electricity demand forecasting by multi-task learning. IEEE Trans. Smart Grid 9(2), 544–551 (2016)
4. Keyno, H.S., Ghaderi, F., Azade, A., Razmi, J.: Forecasting electricity consumption by clustering data in order to decline the periodic variable’s affects and simplification the pattern. Energy Convers. Manage. 50(3), 829–836 (2009)
5. Akay, D., Atak, M.: Grey prediction with rolling mechanism for electricity demand forecasting of Turkey. Energy 32(9), 1670–1675 (2007)
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