Open AccessLearning Vector Quantization Neural Network (LVQNN): Can it be implemented on the Forecasting Electrical Loads?
Author(s) -
Agus Dharma,
N. K. Mataram,
I Nyoman Gde Antara
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/248/1/012027
Subject(s) - electrical load , mean absolute percentage error , artificial neural network , computer science , learning vector quantization , electric power , sample (material) , demand forecasting , electricity , electric power system , quantization (signal processing) , vector quantization , term (time) , data mining , artificial intelligence , machine learning , power (physics) , engineering , voltage , operations research , algorithm , chemistry , physics , chromatography , quantum mechanics , electrical engineering