Forecasting of Turkey’s monthly electricity demand by seasonal artificial neural network
Crossref DOI link: https://doi.org/10.1007/s00521-017-3183-5
Published Online: 2017-08-25
Published Print: 2019-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hamzaçebi, Coşkun
Es, Hüseyin Avni https://orcid.org/0000-0003-4987-0173
Çakmak, Recep
Text and Data Mining valid from 2017-08-25
Article History
Received: 10 November 2016
Accepted: 14 August 2017
First Online: 25 August 2017
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.