We use cookies on this website, you can read about them here. To use the website as intended please... ACCEPT COOKIES
UAL Research Online

Analysing and forecasting European Union energy data

Beneki, Christina and Silva, E.S. (2013) Analysing and forecasting European Union energy data. International Journal of Energy and Statistics, 1 (2). pp. 127-141. ISSN 2335-6812

Type of Research: Article
Creators: Beneki, Christina and Silva, E.S.

The incessantly growing demand for energy consumption and the significance of the availability of sustainable energy for achieving long term economic growth defines the importance of forecasting energy statistics. This paper analyses and forecasts actual energy consumption data for EU-27 nations using both parametric and nonparametric time series forecasting techniques. Singular Spectrum Analysis (SSA) is adopted as the nonparametric time series analysis and forecasting technique and the results from SSA are compared with ARIMA, which is a parametric forecasting technique.

Additional Information (Publicly available):

This article is on restricted access due to copyright restrictions. Please contact UAL Research Online to request access.

Keywords/subjects not otherwise listed: Energy, Forecast, Electricity consumption; Renewable electricity consumption; Primary energy consumption; Forecasting; Singular Spectrum Analysis; ARIMA; Parametric; Nonparametric
Your affiliations with UAL: Colleges > London College of Fashion
Date: 5 July 2013
Digital Object Identifier: 10.1142/S2335680413500099
Date Deposited: 28 Jun 2016 11:30
Last Modified: 28 Apr 2017 14:10
Item ID: 9549
URI: https://ualresearchonline.arts.ac.uk/id/eprint/9549

Repository Staff Only: item control page | University Staff: Request a correction