Implementing AI&ML platforms and processes to enable the rapid scale-up of advanced smart grid analytics use-cases
28-30 April 2020 | Brussels, Belgium

Programme

Conference Day 2 Wednesday 29 April 2020 Download
08:00Registration and refreshments
08:45Welcome back from the chair
09:00Smart Meter Data - leveraging smart meter data to model future consumption patterns and prepare for an exponential rise in electricity demand
09:45In-House vs External AI&ML Platforms - determining whether to invest in in-house or cloud-based platforms to meet immediate and long-term analytics objectives
  • Yamshid Farhat Quiñones
    Yamshid Farhat Quiñones
    Data Scientist Grid Analytics, BKW Energie
10:30Morning refreshments, exhibition and networking
11:00Technology Innovation Panel: Integrating AI&ML into the smart utility environment to solve complex industry challenges
12:30Lunch, exhibition and networking reception
14:00Predictive Maintenance - applying AI&ML to transform high volumes of sensor data into clear and effective predictive maintenance actions
  • Remko Logemann - Data Scientist - TenneT
    Remko Logemann
    Data Scientist, Tennet
14:45Condition Monitoring - establishing a more structured and consistent way of monitoring the condition of critical assets through both traditional and state of the art image data
15:30Afternoon refreshments, exhibition and networking
16:00Forecasting - leveraging state-of-the-art AI methods to enhance load forecasting in the smart grid era
  • Miha Grabner - Milan Vidmar Electric Power Research Institute - Grid Asset Management 2019
    Miha Grabner
    Data Scientist, Milan Vidmar Electric Power Research Institute
16:45Investment Planning - developing an AI&ML driven methodology to optimise long term investment planning of a more complex grid
  • Jean-Philippe Poirrier
    Jean-Philippe Poirrier
    Assistant Director, Smart Grid Solutions Industrialisation Program, Enedis
17:30End of conference day two