Decision Support for the Low Voltage Distribution Grid; the Role of Electricity Consumption Time Series

18 november 2021, online
AI for Times Series seminarie
VAIA, Flanders AI Research & KU Leuven STADIUS

The low voltage distribution grid delivers electricity to our houses and small businesses. Not only is it a critical infrastructure, on which our society depends, it is also a crucial component to realize the energy transition. As such, it is subject to radical (r)evolutions: distributed production (solar panels), electrification of transport and heating (electric cars and heat pumps). Nevertheless, our view on the state of the grid is limited at best, as it is a challenging environment, characterized by sparse and inaccurate data.

After an introduction to the field, we will discuss how the marriage of power systems engineering and artificial intelligence can aid to improve the visibility on the low voltage distribution grid. This enables optimized use of the presently installed assets and helps to limit future investments, so the distribution grid becomes an enabler of the energy transition, rather than a costly bottleneck.

Of special importance to this work are the consumption and production profiles of individual connections to the grid: time series that describe our use of the grid. Despite the rollout of smart metering throughout Europe, measurements remain limited. And these time series are characterized by high stochasticity – human behavior, and are unbalanced – few, yet for us all-important power peaks. We will discuss the properties of electricity profiles, and the work to statistically model and ultimately forecast them.

Koen Vanthournout received his Master degree in Electrical Engineering (1999) from Groep T Hogeschool in Leuven, Belgium, and his Master degree in Artificial Intelligence (2000) from KU Leuven, Belgium. He obtained a PhD in Electrical Engineering from KU Leuven in 2006. In 2020 he obtained the Postgraduate certificate School of Thinking from the Vrije Universiteit Brussel. From 2006 to 2009, he worked as a senior embedded software engineer for Icos Visions Systems/KLA-Tencor, after which he joined VITO, the Flemish Institute for Technological Research, and EnergyVille. In 2017, he co-founded ENION, a service provider for custom battery systems for SME’s, after which he returned to VITO and EnergyVille. He is currently working on smart grids, demand response, and the management of distribution grids.


  • 18 november 2021, 14.30-15.30u
  • Locatie: online streaming
    Omwille van de stijgende COVID19-besmettingen, zal deze lezing alleen online doorgaan. Fysieke aanwezigheid is niet langer mogelijk.
  • Contact: Philippe Dreesen & Katrien De Cock
  • Taal: Engels
  • Doelgroep: iedereen met interesse voor AI en tijdreeksen


  • Prijs: gratis
  • Inschrijven is niet nodig, je kan gewoon naar de (online) lezing komen.
    Als je graag een reminder ontvangt, geef dan je contactgegevens hieronder op, dan ontvang je een melding op de dag van het seminarie.

AI for Time Series Seminars

Verschillende onderzoeksgroepen in het Flanders AI Research-programma verrichten onderzoek van wereldklasse op t Verscheidene onderzoeksgroepen in het Vlaams AI-onderzoeksprogramma verrichten onderzoek van wereldklasse in verband met tijdreeksen, zowel voor de ontwikkeling van algoritmes en tools, als voor een brede reeks toepassingen. In een recente rondvraag bij de Vlaamse AI-gemeenschap, bleek dat het onderwerp ‘tijdreeksen’ het meest gevraagd werd om toekomstige workshops en cursussen over te organiseren. Met deze seminariereeks komen we aan die vraag tegemoet en brengen we onderzoekers die geïnteresseerd zijn in, of onderzoek verrichten naar, tijdreeksen samen. We bieden hen en andere belangstellenden een gevarieerd programma met nationale en internationale sprekers.