Open AccessApplication of Artificial Neural Network for Short Term Electricity Demand Forecasting
Author(s) -
E. D. T. Somarathne,
J. V. Wijayakulasooriya,
D. S. K. Karunasinghe
Publication year - 2022
Publication title -
kdu journal of multidisciplinary studies
Language(s) - English
Resource type - Journals
eISSN - 2579-2245
pISSN - 2579-2229
DOI - 10.4038/kjms.v4i1.44
Subject(s) - autoregressive integrated moving average , demand forecasting , artificial neural network , benchmark (surveying) , term (time) , computer science , electricity , electric power system , box–jenkins , time series , moving average , peak demand , operations research , econometrics , industrial engineering , artificial intelligence , engineering , power (physics) , machine learning , economics , geography , physics , quantum mechanics , electrical engineering , geodesy , computer vision