
Building an adaptive hybrid model for short-term prediction of power consumption using a neural network
Author(s) -
Gulnara Ibrayeva,
Yuliya Bulatbayeva,
Yermek Sarsikeyev
Publication year - 2022
Publication title -
eastern-european journal of enterprise technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.268
H-Index - 24
eISSN - 1729-4061
pISSN - 1729-3774
DOI - 10.15587/1729-4061.2022.254477
Subject(s) - nonlinear autoregressive exogenous model , mean squared error , conjugate gradient method , artificial neural network , computer science , electricity , term (time) , algorithm , artificial intelligence , statistics , mathematics , engineering , physics , quantum mechanics , electrical engineering