Implementing AI&ML platforms and processes to enable the rapid scale-up of advanced smart grid analytics use-cases
8-10 September 2020 | Brussels, Belgium

Programme

Conference Day 3 Thursday 10 September 2020 Download
08:00Registration and refreshments
08:45Welcome back from the chair
09:00Predictive Analytics - improving the daily forecasting for the medium-voltage electric grid for better load balancing
09:45EV Charging - establishing realistic demand patterns based on historical customer behaviour to and how to capitalise on the flexibility in EV charging by developing a self-learning control algorithm
10:30Morning refreshments, exhibition and networking
11:00Vegetation Management – Exploring the capabilities of high-resolution UAV/LIDAR technologies alongside AI&ML and neural networks to enable advanced image processing to develop more accurate risk frameworks for vegetation management
  • Senior Representative
    Speakers to be confirmed
11:45Machine Learning - assessing the potential of machine learning and building out experimental applications to aid carbon reduction initiatives that stimulate the development of smart cities
  • Per-Oddvar Osland
    Per-Oddvar Osland
    Program Manager, Smart Metering, Agder Energi
12:30Lunch, exhibition and networking
14:00Fraud Prevention - utilising the advanced data processing capabilities of AI to detect electricity theft and protect revenue by gaining greater oversight at the grid edge
14:45Machine Vision - leveraging the potential of image processing tools to optimise asset maintenance practices and improve field force effectiveness
15:30Afternoon refreshments, exhibition and networking
16:00Tutorial: Blockchain – exploring the applications of blockchain technology in the energy sector to help facilitate the transition from Distribution Network Operators to Distribution System Operators
  • Jianzhong Wu
    Jianzhong Wu
    Professor of Multi-Vector Energy Systems, Cardiff University
17:30End of conference