Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC).
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%0 Journal Article
%1 journals/cee/KhanCIKBAHA20
%A Khan, Abdullah
%A Chiroma, Haruna
%A Imran, Muhammad
%A Khan, Asfandyar
%A Bangash, Javed Iqbal
%A Asim, Muhammad
%A Hamza, Mukhtar Fatihu
%A Aljuaid, Hanan
%D 2020
%J Comput. Electr. Eng.
%K dblp
%P 106737
%T Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC).
%U http://dblp.uni-trier.de/db/journals/cee/cee86.html#KhanCIKBAHA20
%V 86
@article{journals/cee/KhanCIKBAHA20,
added-at = {2022-02-21T00:00:00.000+0100},
author = {Khan, Abdullah and Chiroma, Haruna and Imran, Muhammad and Khan, Asfandyar and Bangash, Javed Iqbal and Asim, Muhammad and Hamza, Mukhtar Fatihu and Aljuaid, Hanan},
biburl = {https://www.bibsonomy.org/bibtex/29358ee80e6b1ac67aa64a480ed25d5c8/dblp},
ee = {https://doi.org/10.1016/j.compeleceng.2020.106737},
interhash = {a0557bca04c61614a982bad04fdd0c19},
intrahash = {9358ee80e6b1ac67aa64a480ed25d5c8},
journal = {Comput. Electr. Eng.},
keywords = {dblp},
pages = 106737,
timestamp = {2024-04-08T18:52:17.000+0200},
title = {Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC).},
url = {http://dblp.uni-trier.de/db/journals/cee/cee86.html#KhanCIKBAHA20},
volume = 86,
year = 2020
}
