An Overview of Electricity Consumption in Europe: Models for Prediction of the Electricity Usage for Heating and Cooling

No Thumbnail Available

Date

2024

Journal Title

Journal ISSN

Volume Title

Publisher

Econjournals

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Journal Issue

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

Fields of Science

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