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

Download the programme

Download packages

Venue

NH Berlin Potsdam Conference Centre
Zehlendorfer Damm 190
Kleinmachnow 14532
Germany

Tel: +49 30 2238 0233
Email: reservierunqen@nh-hotels.com

Visit the website

Accommodation

We have negotiated a number of discounted rooms at the venue and other nearby hotels. To benefit from these rates please choose one of the following options:

Option 1 – NH Berlin Potsdam Conference Centre (16th & 17th Only)
€99 per night including breakfast
Tel: +49 30 2238 0233 / E-mail: reservierunqen@nh-hotels.com
Please quote: ABK SGBD2019
Cut off date for preferential rate: 2nd September 2019

Option 2 – H24 Hoteltow (10 min drive to venue) (16th, 17th & 18th)
Single room: €69 per night, incl. breakfast / Double room: 89 EUR per night, incl. breakfast
Tel: +49 3328400 / Email: reservierung@hoteltow.de
Please quote: Smartgrid-Forums
Cut off date for preferential rate: 12th August 2019

Option 3 – HotelMap (best available rates in nearby hotels)
https://hotelmap.com/pro/MSVHH#search

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