Open AccessSHORT-TERM LOAD FORECASTING BY USING THE ARTIFICIAL NEURAL NETWORK MODEL
Author(s) -
Krešimir Tačković,
Srete Nikolovski,
Vedran Boras
Publication year - 2022
Publication title -
journal of energy - energija
Language(s) - English
Resource type - Journals
eISSN - 1849-0751
pISSN - 0013-7448
DOI - 10.37798/2008575336
Subject(s) - artificial neural network , term (time) , computer science , electric power system , busbar , operator (biology) , electricity , electrical load , artificial intelligence , power (physics) , engineering , voltage , electrical engineering , biochemistry , physics , chemistry , repressor , quantum mechanics , transcription factor , gene
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