Next Generation Data Management, Analytics, AI and Machine Learning to Power the Smart Utility
17-19 September 2019 | Berlin, Germany

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The venue for Smart Grid Big Data 2019 is currently being finalised. Please check back in June 2019 for full venue details and how you can book bedrooms at the preferential rate reserved for participants of this conference.

Welcome to Smart Grid Big Data 2019

Now in its 5th edition this must-attend smart grid big data conference, exhibition and networking forum draws together leading data management, grid analytics and AI/ML implementation leaders and specialists from across the European electric utility landscape. Providing an unparalleled opportunity for you to review 20+ utility specific big data case-studies in just three intensive days, you will also benefit from the insights gained from the technology innovation panel discussions, end-user focused round table debates, and facilitated networking with our highly focused group of utility big data professionals.

Discussion themes include: demonstrating big data ROI to secure further investment, leveraging the power of data lakes, utilising next-generation visualisation tools and techniques, developing your data science talent pool, applying big data to smart grid specific use-cases such as predictive maintenance, non-technical losses, load balancing, demand response, leveraging AI/ML innovations to future proof and propel your big data capability to the next level. See the full agenda below.

Event highlights include:

  • Case-study driven programme created with the research input of 30+ smart grid big data implementation leaders and specialists
  • Post-event AI/ML seminar focussing on near future opportunities and implementation strategies for AI/ML
  • Technology innovation panel discussion allowing you to quiz the tech leaders and influence the direction of future product development
  • Intimate roundtable debates addressing the most timely and critical big data challenges and opportunities
  • Exhibition area featuring 10+ smart grid specific big data solution providers enabling you to technology scout with ease
  • Live demo labs of the latest smart grid big data tools and technologies
  • Networking evening reception open to all participants, enabling you to meet with peers and potential partners in a relaxed and informal environment
Main Conference Day One - Data ManagementTuesday 17 September 2019
08:00Registration and refreshments
08:50Opening remarks from the chair
09:00Demonstrating ROI – Balancing short-term wins with larger long-term goals to build a credible big data business case to secure ongoing investment
09:40Data Lakes – Evaluating the viability of data lakes as a single store repository for data to enable real time analytics from multi-streamed smart grid data
10:20Morning refreshments & exhibition
11:00Panel Discussion: Approaches to Data Quality Best Practice – Establishing frameworks for improving the quality of historic and current data to achieve analytical accuracy
11:40Combining Data Streams – Merging high volume granular data from an increasing number of channels to provide a stronger foundation for advanced analytics
12:20Lunch, network & exhibition
14:00Low Voltage and Smart Meter Data Streams – Taking advantage of increased analysis through IoT deployment to the edge of the grid to gain better visibility of the grid
  • Frans Campfens
    Frans Campfens
    Senior Consultant, Energy Consulting, Qirion (Alliander)
14:40Social Media - Integrating data from social media networks to create a real-time social sensor for the smart grid
15:20Afternoon refreshments & exhibition
16:00Data Governance – Creating a robust governance framework to ensure best practice when combining modern and legacy system data
  • Razvan Tudor
    Razvan Tudor
    Chief Risk Officer & Data Protection Officer, Hidroelectrica
16:40Cyber Security – Ensuring that grid operations remain secure, accountable and unaffected by malicious attacks as infrastructure evolves
17:20Roundtable Discussions
19:00Networking Reception
20:30End of Conference Day 1
Main Conference Day Two - Grid AnalyticsWednesday 18 September 2019
08:00Registration and refreshments
08:50Opening remarks from the chair
09:00Cloud Migration – Preparing and migrating to the cloud whilst ensuring that energy security is unaffected, and value is retained
  • Speaker to be confirmed
09:40Big Data Talent – Creating a framework for identifying and nurturing talent in the data science space to build a department of top performers
  • Yingxun Zhou
    Yingxun Zhou
    Smart Asset Insight Manager, SSE
10:20Morning refreshments & exhibition
11:00Technology Innovation Panel - evaluating the latest innovations in data analytics platforms and tools designed specifically for the smart utility environment
12:00Visualisation - Creating a system that collects, visualises and delivers insights instantly for real time monitoring to improve quality of supply
  • Per-Oddvar Osland
    Per-Oddvar Osland
    Program Manager, Smart Metering, Agder Energi
  • Senior Representative
    Tobias Haumann
    Data Scientist, Agder Energi Nett
12:40Lunch, network & exhibition
14:00Automating Predictive Maintenance - Extending the lifespan, improving stability and operational efficiency of infrastructure by mitigating unexpected disasters
14:40GIS Based Analytics – Harnessing GIS based insights, technology transformation and advanced analytics programmes to broaden view of the pressures facing the grid
15:20Afternoon refreshments & exhibition
15:50Grid Planning – Harnessing deep analytics and automation in design of future grid operations to improve flexibility and offerings to the customer
  • Santiago Cascante Nogales
    Santiago Cascante Nogales
    Head of Innovation – Global Infrastructures and Network, Enel
16:30Non-Technical Loss Use Case – Identifying and eliminating fraudulent activity through the deep analysis of consumer and grid data
  • Senior Representative
    Gabriela Prado
    Head of the Networks Data Analytics Unit, Iberdrola
17:10End of Conference Day 2
Post Conference Seminar - AI & ML 4 Smart GridThursday 19 September 2019
08:00Registration and refreshments
08:50Opening remarks from the chair
09:00Where to Start with AI – Determining how best to leverage AI and machine learning techniques on existing advanced analytics platforms to enable autonomous decision-making and portfolio optimization
09:40Centralised Grid Analytics – Developing the optimum methods to use multiple diverse data sources to your advantage in asset management
10:20Improving Safety with AI and ML – Using AI to monitor and assess worker safety during on-voltage operations
11:00Morning refreshments & exhibition
11:30Automated Asset Investment Planning – Using AI to find the most robust investment strategy for a system in transition
12:10Demand Response – Leveraging data analytics and machine learning for demand response
  • Miha Grabner - Milan Vidmar Electric Power Research Institute - Grid Asset Management 2019
    Miha Grabner
    Data Scientist, Milan Vidmar Electric Power Research Institute
12:50Lunch, network & exhibition
14:00Load Balancing – Developing a prognosis for consumption in trade using machine learning
14:40AI & ML for Smart Meter Data – Using smart meter data for distribution network monitoring and early warning of network constraints violation
  • Maizura Mokhtar
    Maizura Mokhtar
    Data Scientist, KTP Associate, Heriot-Watt University and Scottish Power Energy Networks
15:00Wider AI Grid Applications – Using drones and AI recognition methods for asset management and examining the wider AI grid applications being evaluated at Enedis
  • Jean-Philippe Poirrier
    Jean-Philippe Poirrier
    Assistant Director, Smart Grid Solutions Industrialisation Program, Enedis
15:40Afternoon refreshments & exhibition
16:10AI Future Potential – Assessing the potential of AI for operating the grid under increasing uncertainty
  • Aidan O'Sullivan
    Aidan O’Sullivan
    Energy Systems and Data Analytics MSc, University College London
16:50AI for EV Charging: Quantifying and exploiting flexibility in EV charging with data-driven modeling and reinforcement learning
17:30End of seminar