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 - 2520-467X
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
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom