Generating Contextual Load Profiles Using a Conditional Variational Autoencoder

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37 Downloads (Pure)

Abstract

Generating power system states that have similar distribution and dependency to the historical ones is essential for the tasks of system planning and security assessment, especially when the historical data is insufficient. In this paper, we described a generative model for load profiles of industrial and commercial customers, based on the conditional variational autoencoder (CVAE) neural network architecture, which is challenging due to the highly variable nature of such profiles. Generated contextual load profiles were conditioned on the month of the year and typical power exchange with the grid. Moreover, the quality of generations was both visually and statistically evaluated. The experimental results demonstrate our proposed CVAE model can capture temporal features of historical load profiles and generate ‘realistic’ data with satisfying univariate distributions and multivariate dependencies.
Original languageEnglish
Title of host publicationProceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-6654-8032-1
ISBN (Print)978-1-6654-8033-8
DOIs
Publication statusPublished - 2022
Event2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) - Novi Sad, Serbia
Duration: 10 Oct 202212 Oct 2022

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
Volume2022-October

Conference

Conference2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Country/TerritorySerbia
CityNovi Sad
Period10/10/2212/10/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • CVAE
  • generative model
  • load profiles
  • synthetic data

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