Conference Day One | Tuesday 25th September 2018

08:00

Registration and welcome refreshments

08:45

Opening address from the chair

09:00

Unlocking Value Panel– optimising your big data infrastructure and investment to meet immediate organisational requirements and the demands posed by the energy transition

  • Drawing a roadmap for your data strategy which ensures optimal return on investment and supports increased resilience and flexibility in the network
  • Identifying use cases that maximise the value from your current data capabilities
  • Developing the infrastructure to take your data capabilities to the next level
  • Building the internal competencies to implement and carry out new analytics
  • Managing expectations and delivering results in a timely fashion
  • Futureproofing your investments by ensuring their readiness to deal with internal and external changes
  • Building data capabilities which improve grid operations and provide the robustness to thrive despite the uncertainties of the energy transition

Petr Lang, Project Manager, Asset Strategy & Projects – E.ON Česká republika

Oliver Motz, Principal, New Technologies & Projects – Grid & Projects – Innogy SE

10:00

Data Governance – establishing a framework that balances business advantage with regulatory compliance in a post-GDPR environment

  • Formulating robust strategies for the collection and handling of data and implementing these throughout your business
  • Understanding the regulatory requirements for data-driven organisations and interpreting these in the context of the power industry
  • Enforcing best practice and instilling a culture of compliance among staff with data handling responsibilities
  • Using collaborative innovation and algorithms to effectively audit the business from end-to-end to eradicate shadow IT and identify problem areas in data architecture
  • Using accessible visualisations and dashboards to facilitate internal monitoring and external reporting
  • Determining the scope of the Chief Data Officer role and how it will drive governance post-GDPR
  • Communicating your approach with regulators to avoid penalties, encourage access to potentially useful data, and promote flexibility in the face of unpredictable technological shifts

Jeff Montagne, Chief Data Governance Officer – Enedis

10:45

Morning refreshments, exhibition and networking

11:15

Legacy Infrastructure – developing a big data system architecture that leverages legacy systems, integrates state of the art functionalities, and enables easy access to multiple streams of data

  • Effectively integrating multiple systems from across the organisation with new data infrastructure to maximise the depth and breadth of your analytics capabilities
  • Taking necessary steps to integrate systems without putting critical functionality at risk
  • Obtaining buy-in from the key personnel responsible for different business units to make integration as smooth as possible
  • Comparing different standards and interfaces for adapting data of varying quality and structure to meet organisational needs
  • Deciding between different types of data platform including on-premises and outsourced solutions to meet data governance, capacity and complexity requirements
  • Quantifying the immediate benefits of system integration versus alternative options

Samuel Young, Analytics Development Leader – National Grid

12:00

Smart Meter Data extracting deep value from smart meter data whilst delivering a capability to work with other forms of data

    • Leveraging AMI to deliver advanced business insight to network operators
    • Building an infrastructure to manage smart meter data which is interoperable with a variety of sources of network data
    • Identifying the challenges of integrating and processing high data volumes
    • Prioritising high-value use cases to add value for network operators today and in the future

Iain Stewart, International Practice Partner, Utilities & Smart Cities – Teradata

12:45

Lunch, exhibition and networking

14:15

EMS/DMS Data – effectively preparing and analysing historic and real-time data to support a range of grid planning and development use cases

  • Identifying the complete range of data available in EMS/DMS systems and determining how it can best be accessed and compiled for a range of use cases
  • Effectively pulling together data streams from multiple systems across the grid
  • Overcoming variations in data structures and quality to deliver useable inputs for analysis
  • Determining the highest value use cases made possible by EMS/DMS data
  • Selecting the best tools to perform the desired modelling and analysis
  • Quantifying the grid awareness and performance improvements possible through advanced EMS/DMS data analytics

Gunnar Hoffmann, Head of Big Data Analytics – Innogy SE

15:00

Low Voltage Network Data – leveraging the new data generated from IoT deployment to the grid edge to gain deeper insights into the end to end network and support a more extensive set of use cases

  • Extracting and utilising data from smart meters in low voltage networks to allow more complete grid awareness and extend analytics benefits to the whole grid
  • Expanding coverage of the grid through the deployment of sensors and power quality meters
  • Processing large quantities of real-time data captured in complex grid topologies
  • Extracting valuable performance insights from the grid edge and empowering control rooms to more actively monitor low voltage networks

Marina Grujic Milosevic, Business Strategist – Vattenfall SE

15:45

Afternoon refreshments, exhibition and networking

16:15

Cyber Security identifying the points of vulnerability specific to big data infrastructure and determining appropriate prevention, detection, recovery and response strategies to mitigate risks

  • Identifying, detecting and diagnosing threats to the integrity and availability of data including malicious data injections
  • Building methods for dynamic risk assessment, impact analysis and resilience
  • Managing threats arising from a combination of the human, physical and cyber aspects of systems
  • Balancing the need to integrate more systems with minimising the attack surface for cyber threats
  • Evaluating new approaches to dealing with the inherent security weaknesses of legacy systems
  • Exploring vulnerabilities associated with the use of Machine Learning algorithms
  • Ensuring the protection of systems containing sensitive data to minimise business risk

Prof Emil Lupu, Professor of Computer Systems, Faculty of Engineering – Imperial College London

17:00

GIS Data – using available grid topology data from GIS to efficiently gain new insights into the grid and achieve more accurately targeted actions

  • Preparing GIS data to meet the demands of data analytics
  • Identifying the best use cases to generate the most value from GIS data
  • Incorporating GIS data into a variety of models to provide tools and insight which support complex network operations
  • Exploring the development of algorithms to automate aspects of engineering processes including network planning and monitoring compliance with best practice

Stefan Lanz, Data Scientist – BKW

17:45

Roundtable Discussions – during this session the audience breaks out into several small working groups, each focused on specific themes that arose during the day’s presentations. Each working group will comprise of representatives of the entire utility big data community to ensure a well-rounded and holistic discussion. Key issues raised, and solutions proposed will be collated for presentation to the wider group at the end of the session

19:15

Networking Reception – time to relax and unwind after an intensive day of presentations and discussions! All participants are invited to join this networking reception where you will have the opportunity to enjoy the company of colleagues from across the European smart grid technical community.

21:00

Close of conference day one

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