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


Conference Day 3 Thursday 30 April 2020 Download
08:00Registration and refreshments
08:45Welcome back from the chair
09:00Vegetation 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
09:45Demand Response - demonstrating the capability of AI&ML to accurately match supply and demand in a more volatile grid environment
10:30Morning refreshments, exhibition and networking
11:00EV Adoption - building out granular consumption profiles to establish demand patterns and allocate resources more effectively using AI&ML
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: Deep Learning - exploring the future potential of deep learning within the grid environment as a tool to develop novel applications and create additional value from rapidly rising volumes of data
17:30End of conference