z-logo
open-access-imgOpen Access
Investigation of energy demand correlation during pandemic using self-organizing map algorithm
Author(s) -
Mohamad Fani Sulaima,
Sharizad Saharani,
Arfah Ahmad,
Elia Erwani Hassan,
Zul Hasrizal Bohari
Publication year - 2022
Publication title -
iaes international journal of artificial intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 7
eISSN - 2252-8938
pISSN - 2089-4872
DOI - 10.11591/ijai.v11.i4.pp1333-1343
Subject(s) - normalization (sociology) , computer science , self organizing map , database normalization , data mining , energy consumption , artificial neural network , regression , regression analysis , artificial intelligence , pattern recognition (psychology) , statistics , machine learning , mathematics , sociology , anthropology , ecology , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here