An Overview of Electricity Consumption in Europe: Models for Prediction of the Electricity Usage for Heating and Cooling
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Econjournals
Abstract
Although aggregate electricity consumption provides valuable information for market analysis, demand composition, including industrial, residential, illumination, and other uses, and special days, such as national or religious holidays and annual industrial shutdowns, differ for each country. This paper analyzes the hourly electricity consumption of European countries in the European Transmission System Operation for Electricity (ENTSO-E) grid from 2006 to 2018. We propose an outlier detection method to identify special days and a modulated Fourier Series Expansion model to determine the breakdown of industrial versus household consumption and heating versus cooling consumption. The proposed outlier detection method uses the time series for each hour and checks whether a day has more than a threshold number of hours with exceptional electricity consumption levels. The proposed demand prediction model has a 3% average error when electricity usage for heating is not dominant. It also allows country classification based on consumption patterns to efficiently manage regional or country-based electricity markets. © 2024, Econjournals. All rights reserved.
Description
Keywords
Electricity Consumption Composition Analysis, Fourier Series Expansion, Special Days Detection
Turkish CoHE Thesis Center URL
Citation
0
WoS Q
N/A
Scopus Q
Q2
Source
International Journal of Energy Economics and Policy
Volume
14
Issue
2
Start Page
96
End Page
111