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 1 Tuesday 8 September 2020 Download
08:00Registration and refreshments
08:45Opening address from the chair
09:00Leveraging AI&ML - examining the internal and external factors driving the need for AI&ML within the evolving digital grid; DERs, EVs, IoT
09:45Gaining Trust for AI&ML - developing a considered and robust plan to show the potency of advanced analytical software and its capability to deliver reliable outputs, removing trust issues and demystifying the output process
10:30Morning refreshments, exhibition and networking
11:00Panel: Data Science Team Structure - defining and building the optimal work environment for data science teams within utility workforces
  • Shahin Abbas Zadeh - Eesti Energia
    Shahin Abbas Zadeh
    Data Scientist, Eesti Energia
  • Jean-Philippe Poirrier
    Jean-Philippe Poirrier
    Assistant Director, Smart Grid Solutions Industrialisation Program, Enedis
  • Per-Oddvar Osland
    Per-Oddvar Osland
    Program Manager, Smart Metering, Agder Energi
12:30Lunch, exhibition and networking
14:00Scaling Up AI&ML - establishing a strategic framework, developing dedicated platforms and processes and optimising your data science team capabilities to deliver many more AI&ML use-cases
14:45Data Lakes - combining AI&ML with data lakes to achieve more advanced insights and unlock greater application potential through novel use cases
15:30Afternoon refreshments, exhibition and networking
16:00Autonomous Operational Forecasting - leveraging AI-powered, short-term forecasting to enable autonomous local balancing of the grid while maintaining quality of data, models and results under operational conditions
16:45Real Time Sensor Data - determining the most feasible framework for infrastructure, algorithm and capability development to enable enhanced insights from the processing of high-volume real-time sensor data from the grid
  • Tadej Sinkovec – Deputy of Executive Director for Network Operations and Development – Elektro Ljubljana
    Tadej Sinkovec
    Deputy of Executive Director for Network Operations and Development, Elektro Ljubljana
  • Senior Representative
    Maja Savinek
    Analytics Consultant, Elektro Ljubljana
17:30Roundtable discussions
19:00Networking discussions
21:00End of conference day one
Conference Day 2 Wednesday 9 September 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
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
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