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The dynamics of power consumption constitutes an essential building block forplanning and operating energy systems based on renewable energy supply. Whereasvariations in the dynamics of renewable energy generation are reasonably wellstudied, a deeper understanding of short and long term variations inconsumption dynamics is still missing. Here, we analyse highly resolvedresidential electricity consumption data of Austrian and German households andpropose a generally applicable methodology for extracting both the averagedemand profiles and the demand fluctuations purely from time series data. Theanalysis reveals that demand fluctuations of individual households are skewedand consistently highly intermittent. We introduce a stochastic model toquantitatively capture such real-world fluctuations. The analysis indicates inhow far the broadly used standard load profile (SLP) may be is insufficient todescribe the key characteristics observed. These results offer a betterunderstanding of demand dynamics, in particular its fluctuations, and providegeneral tools for disentangling mean demand and fluctuations for any givensystem. The insights on the demand dynamics may support planning and operatingfuture-compliant (micro) grids in maintaining supply-demand balance.

Data-Driven Load Profiles and the Dynamics of Residential Electric PowerConsumption