Welcome to Grid Analytics Europe 2018
Welcome to the 4th annual Grid Analytics Europe 2018. This year’s programme draws together 120+ utility big data leaders and smart grid domain experts for a review of practical big data implementations, and a discussion of the next steps in developing the data management, analytics and visualisation function, to maximise value and drive use-case expansion across the smart utility asset management, operations & maintenance, customer journey and finance department
This year’s case-study conference spans 3 days and focuses on establishing more efficient ways to manage the data, more accurate ways to analyse the data, new use-cases that that deliver more business value, and the potential of future technologies such as cloud, AI and blockchain for driving big data innovations. Alongside the case-study agenda we have a technology innovation panel discussion, a 2-hour cloud tutorial, a series of intimate round table discussions, a live demo lab of the latest tools and technologies, an exhibition area displaying state of the art smart utility big data solutions, and an evening reception open to all participants.
Event highlights include:
- Case-study Programme – gain in-depth insights into the big data experiences of 16+ pioneering European utilities and understand how new use-cases are being introduced in the context of organisational objectives and pressures
- Technology Innovation Panel – quiz the technology innovators on the strength of their current product offerings, their R&D pipelines and their vision for the future of smart utility big data
- Roundtable Discussions – bring your specific big data challenges to the table and brainstorm and problem solve intensively with the entire smart utility big data community
- Live Demo Labs – through a dedicated 1:1 session gain hands-on experience of the most advanced and forward-looking big data platforms and tools on to the market
- Solution Zone – get up to speed with the latest big data solutions and services, discuss your specific challenges and get tailored advice to help propel your big data strategy to the next level
- Networking Reception – relax and unwind after an intensive day of presentations and panel discussions, meet with colleagues from across the European smart utility big data community, allow new ideas to cement and new partnership opportunities to emerge
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Partner (Former Senior Manager Data & Insights Alliander)
Robin Hagemans MSc has broad experience in developing data-driven organisations and enabling IT-architectures. Within the scope of ‘Sensor to Sense’, he is capable of growing organisations and technology from the first steps of data-innovations through to large-scale implementations at the Enterprise level. He studied Process Engineering and Business Science in the Netherlands, and recently moved to Infiniot, on the High Tech Campus, as Partner for Data Intelligence. He worked for more then 10 years in the utility sector with Alliander (Senior Manager Data & Insights) and Stedin (Lead Data Competence Center).
Miguel Moreira da Silva
Head of Data & Analytics
Miguel Moreira da Silva is an expert on Energy Systems and an experienced manager at multinational companies. Miguel was selected, in 2013, one of the 100 “Future Energy Leaders” by the World Energy Council. He holds a PhD in Sustainable Energy Systems from the MIT Portugal Program and is a chartered Electrical and Computer Engineer from U.Porto.
He has handled engineering and management roles in the energy value chain (REN, Itron, Iskraemeco, EDF). Besides the industry activity, Miguel has been lecturing energy fundamentals at U.Lisbon and served has technology advisor the Portuguese Government.
Miguel has been working at REN (Portugal’s power and gas TSO) for 7 years, firstly as Head of Innovation and then as Head of Electricity Asset Management. In the last 2 years he has launched the Data & Analytics department, aiming at developing a data-centric organization, including asset sensing, BigData, AI models, and business intelligence..
Chief Data Governance Officer
Jeff Montagne is working as Chief Data Governance Officer for Enedis. He is also a member of the ETIP/SNET working group on digitisation of the electricity system and customer participation. With 20 years of experience in IT systems and control for utilities, Jeff has worked successively on SCADA communication protocols and market exchange platforms for the French TSO, on modernizing security and architecture policies for EDF IS Group, and then on digitalisation for Enedis. He also spent several years in finance within EDF Group. He graduated in engineering from Telecom ParisTech/Stuttgart university and holds an MBA from ESCP Europe.
Load Forecasting Manager
ISO New England
Jon is currently Manager of Load Forecasting at ISO New England, the not-for-profit corporation responsible for keeping electricity flowing across the six-state New England region. In this role, he provides technical direction for energy analytics and both short-term and long-term forecasting of load, distributed photovoltaic (PV) resources, and energy efficiency.
Formerly, Jon served as the ISO’s Lead Engineer on efforts to efficiently and reliably integrate distributed PV into the regional power system. Upon joining ISO in 2010, Jon assisted with the New England Wind Integration Study and the design of wind plant data requirements for ISO’s centralized wind power forecasting system.
Jon is currently a PhD student researching advanced forecasting techniques within the Big Data Energy Analytics Laboratory (BigDEAL) at the University of North Carolina at Charlotte. He received his MS degree in Mechanical Engineering from the University of Massachusetts at Amherst, where his research at the UMass Wind Energy Center explored the effects of varying weather on regional electricity demand and renewable resource availability.
Analytics Development Leader
Samuel is an Analytics Development Leader working at National Grid within the Electricity Transmission Owner. He focuses on identifying innovative uses for analytics within the organisation, as well as designing and delivering modern analytics solutions to replace legacy platforms. Most recently he has been leading the transfer of National Grid’s asset condition monitoring data and analytics onto a new in-house data lake. Prior to joining National Grid, Sam worked in financial services, developing strategies and models to manage consumer credit risk.
Mario is a Data Scientist in the Infrastructure and Networks Digital Hub of Enel, a multinational energy company generating energy with a managed capacity of more than 88 GW and with almost 72 million end users around the world. He has a B.Sc. in mathematics and a M.Sc. in statistical sciences.
Since joining Enel, his main task has been to improve the analytical approach in identifying fraud and anomalies related to electric meters. After a deep dive regarding the strategies used by seven Enel distribution companies located in South America, he defined a new machine learning pipeline applicable to the circumstances of each of these.
Current results obtained by the project show that a modern machine learning approach in a big data context can indeed boost the performance of classical statistical approaches.
Innovation Workstream Lead
UK Power Networks
Luca Grella is an electrical engineer with a master degree on Power Systems. He is a Chartered Engineer in Italy and a member of the IET in the UK. Luca has experience in construction and design of electrical systems as well as project management focused on technical project delivery matured while working for the Danish consulting engineering group Ramboll. Luca joined UK Power Networks as Innovation Workstream Lead and he is responsible for the successful delivery of the technical elements of a number of NIC and NIA projects including Kent Active System Management and Active Response.
Oliver Motz is working as R&D Manager at Innogy SE Grid & Infrastructure Segment. He develops and heads data driven projects mainly for innogy’s DSOs in order to raise transparency and save opex and capex. Oliver’s passion is to develop services with internal clients and bring them to the market. He studied Business Administration at the Private University Witten/Herdecke and holds a PhD in Economics.
UK Power Networks
Borsu Shahnavaz is a Chartered Engineer and an Innovation Analyst at UK Power Networks. He has over 10 years UK and international experience mainly in energy sector. Borsu specialises in distribution and transmission electricity networks and has experience in low carbon innovative projects, generation planning, electricity wheeling, design and development of information system and project management.
In the UK, Borsu has worked on a variety of innovation projects for UK Power Networks including Network Visibility and Control, energywise, Smart Urban LV Networks, Flexible Urban Network Low Voltage, Distribution Network Visibility, and PD Condition Monitoring System.
Before joining UK Power Networks, Borsu worked as an energy consultant at Ricardo Energy and Environment. He was involved in various international projects including development of a wheeling charging model for Jamaica, development of a generation planning model for Uganda, research and development of a decision support system for energy policy makers in the EU countries and developing an information system for performance management in power sector in Bangladesh covering KPI analysis of six power utilities.
Borsu has an MSc in Engineering projects and System Managements, and MSc in Mining Engineering. He is a member of Energy Institute and the British computer society (BSC).
Head of Big Data Analytics
Gunnar studied mechanical engineering and computer science at the University of Freiberg. Following this he began his professional career at RWE Power within the department for “Hard Coal and Gas Fired Power Stations” with a focus on the further development and optimisation of business processes as well as operation management systems. For several years he was then engaged in the corporate research and development department at innogy SE with an emphasis on conventional power plant technology, decentralised energy supply and Smart Energy. Since April 2017 he has been in charge of the Big Data Analytics department delivering platform services and solutions across all innogy segments and corporate functions.
Marina Grujic Milosevic
Marina Grujic Milosevic employed at Vattenfall Distribution Sweden. Marina has a Master’s in nuclear physics and has a broad interest in research – interested in everything from climate change, machine learning, and energy distribution. In her current role at Vattenfall, Marina is focusing on monitoring and improvement of the low-voltage network.
Stefan Lanz is a Data Scientist in the Network Information Systems division of BKW, the largest distribution grid operator in Switzerland. After several years as a researcher in theoretical particle physics, he has switched into the energy sector as a load forecast expert in energy trading. He has worked on the development of software that allows distribution grid operators to understand and actively optimise flexible loads in their grid. More recently, he has focused on data from network information systems with the goal of digitising time-consuming and complex processes and gaining new insights into the grid.