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Data-Driven Load Profiles and the Dynamics of Residential Electric Power Consumption

Anvari, Mehrnaz and Proedrou, Elisavet and Schaefer, Benjamin and Beck, Christian and Kantz, Holger and Timme, Marc (2022) Data-Driven Load Profiles and the Dynamics of Residential Electric Power Consumption. Nature Communications, 13 (4593). Nature Publishing Group. doi: 10.1038/s41467-022-31942-9. ISSN 2041-1723.

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Official URL: https://www.nature.com/articles/s41467-022-31942-9

Abstract

The 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.

Item URL in elib:https://elib.dlr.de/185940/
Document Type:Article
Title:Data-Driven Load Profiles and the Dynamics of Residential Electric Power Consumption
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Anvari, MehrnazPotsdam Institut for Climate Impact Researchhttps://orcid.org/0000-0001-6643-9508UNSPECIFIED
Proedrou, ElisavetInstitute of Networked Energy Systems > Energy Systems Analysishttps://orcid.org/0000-0003-3079-0536UNSPECIFIED
Schaefer, BenjaminKarlsruhe Institute of Technologyhttps://orcid.org/0000-0003-1607-9748UNSPECIFIED
Beck, ChristianQueen Mary University of LondonUNSPECIFIEDUNSPECIFIED
Kantz, HolgerMax-Planck Institute for the Physics of Complex Systemshttps://orcid.org/0000-0001-6921-6094UNSPECIFIED
Timme, MarcChairfor Network Dynamics,Institute for Theoretical Physics and Center for Advancing Electronics Dresden (cfaed)https://orcid.org/0000-0002-5956-3137UNSPECIFIED
Date:6 August 2022
Journal or Publication Title:Nature Communications
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI:10.1038/s41467-022-31942-9
Publisher:Nature Publishing Group
ISSN:2041-1723
Status:Published
Keywords:load profile, residential load, load modelling
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Energy System Transformation
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy Systems Analysis, OL
Deposited By: Medjroubi, Dr Wided
Deposited On:15 Aug 2022 08:58
Last Modified:22 Aug 2022 08:44

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