Co-located with

POWERGEN Europe

Hero Subpage

Loading

Using Machine Learning for smart dynamic pricing

Session
Enabling Technologies
Track
Digitalisation - Theatre 3
Hub Sessions Programme
12-Nov-2019
Theatre 3
  • Flexibility is needed by many energy stakeholders for different purposes (balancing, congestion management, self-consumption).  One way to leverage flexibility is through explicit markets, where flexibility is offered under offers (quantity, price…) format. Another way is to incentivize flexibility providers through price signals (implicity market), leaving them the freedom to react or not
  • In this presentation we explain how machine learning/AI is used for dynamically determining the best price signal to be sent to the end customers in order to achieve a given objective (e.g. reduce system imbalance), based on the desired reaction and important features (e.g. user preference/behavior, events, external factor such as temperature, weather, season, etc.)
  • The Smart Price Engine is tested in the framework of the IO.Energy ecosystem (IoE), allowing to test the whole communication loop from the price engine to the smart appliance.
Speakers
Johan Maricq, Senior Innovation Project Leader - ELIA Group
Guillaume Leclercq , Head of AI for Energy - N-SIDE

EUROPEAN UTILITY WEEK & POWERGEN EUROPE 2019

  • 18000
    VISITORS
  • 800
    EXHIBITORS
  • 100
    COUNTRIES

 

 

European Utility Week Stand Enquiry

European Utility Week Register

Diamond Partner

Platinum Partner


 

Gold Partner

Silver Partner







 

Global Knowledge Partner

Utility Partners

Legal & Regulatory Partner


 

Sponsors

 

All Partners & Sponsors

EUW partners and sponsors

PGE Partners & Sponsors

PGE partners