z-logo
open-access-imgOpen Access
Electricity Demand Forecast of College of Science and Technology, Royal University of Bhutan by 2030
Author(s) -
Chador Wangmo,
Kumari Basnet,
Dewan Rai,
Thinley Wangdi,
Tshewang Lhendup
Publication year - 2020
Publication title -
journal of education and practice
Language(s) - English
Resource type - Journals
ISSN - 2222-1735
DOI - 10.7176/jep/11-30-05
Subject(s) - autoregressive integrated moving average , electricity , autocorrelation , partial autocorrelation function , box–jenkins , consumption (sociology) , mean squared error , demand forecasting , time series , statistics , electricity demand , econometrics , economics , environmental science , mathematics , electricity generation , operations management , engineering , power (physics) , social science , electrical engineering , sociology , physics , quantum mechanics

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