Data-driven load profiles and the dynamics of residential electricity consumption

Author:

Anvari MehrnazORCID,Proedrou ElisavetORCID,Schäfer BenjaminORCID,Beck ChristianORCID,Kantz HolgerORCID,Timme Marc

Abstract

AbstractThe dynamics of power consumption constitutes an essential building block for planning and operating sustainable energy systems. Whereas variations in the dynamics of renewable energy generation are reasonably well studied, a deeper understanding of the variations in consumption dynamics is still missing. Here, we analyse highly resolved residential electricity consumption data of Austrian, German and UK households and propose a generally applicable data-driven load model. Specifically, we disentangle the average demand profiles from the demand fluctuations based purely on time series data. We introduce a stochastic model to quantitatively capture the highly intermittent demand fluctuations. Thereby, we offer a better understanding of demand dynamics, in particular its fluctuations, and provide general tools for disentangling mean demand and fluctuations for any given system, going beyond the standard load profile (SLP). Our insights on the demand dynamics may support planning and operating future-compliant (micro) grids in maintaining supply-demand balance.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

Reference70 articles.

1. Grandjean, A., Adnot, J. & Binet, G. A review and an analysis of the residential electric load curve models. Renew. and Sustain. Energy Rev. 16, 6539–6565 (2012).

2. Bitterer, R. & Schieferdecker, B. Repräsentative VDEW-Lastprofil. VDEW Materialien, M-32/99, Frankfurt, (1999).

3. E-Control. Sonstige MarktregelnStrom Kapitel 6 Zählwerte, Datenformate undstandardisierte Lastprofile. Tech. Rep. Energie-Control Austria für die Regulierung der Elektrizitäts- und Erdgaswirtschaft, Rudolfspl. 13A, 1010 Wien, Austria. https://www.e-control.at/recht/marktregeln/sonstige-marktregeln-strom (2019).

4. Schilling, S. Final energy consumption by sector and fuel. Tech. Rep., European Environment Agency. https://www.eea.europa.eu/data-and-maps/indicators/final-energy-consumption-by-sector-9/assessment-4 (2018).

5. Monacchi, A., Egarter, D., Elmenreich, W., D’Alessandro, S. & Tonello, A. M. Greend: an energy consumption dataset of households in Italy and Austria. in 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm) 511–516 (IEEE, 2014).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3