Forecasting electricity consumption: a comparison of growth curves, econometric and ARIMA models for selected countries and world regions.
This thesis presents six forecasting models for annual electricity consumption based on various time series extrapolation techniques. The proposed models are based on growth curves, multiple linear regression analysis using economic and demographic variables (referred to as the Combined model) and a...
Main Author: | Mohamed, Zaid |
---|---|
Language: | en |
Published: |
University of Canterbury. Electrical and Computer Engineering
2011
|
Online Access: | http://hdl.handle.net/10092/5644 |
Similar Items
-
Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model
by: Shuyu Li, et al.
Published: (2017-07-01) -
Comparison of Forecasting Energy Consumption in East Africa Using the MGM, NMGM, MGM-ARIMA, and NMGM-ARIMA Model
by: Xinyu Han, et al.
Published: (2019-08-01) -
Application of ARIMA models in forecasting livestock products consumption in Tanzania
by: Joseph Frank Mgaya
Published: (2019-01-01) -
ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries
by: Tadeusz Kufel
Published: (2020-06-01) -
Oil Consumption Forecasting using ARIMA Models: An Empirical Study for Greece
by: Chaido Dritsaki, et al.
Published: (2021-06-01)