AI&ML for the Smart Grid 2020

AI&ML for the Smart Grid 2020 event

Keep up to date with all the latest developments for Smart Grid Forum’s AI&ML for the Smart Grid 2020 event.

Very Early Bird expires Friday 28th February

There’s just 9 weeks to go until AI&ML for the Smart Grid 2020 takes place in Brussels! Don’t miss your chance to hear from pioneering utility leaders who will share their lessons learnt from applying AI&ML to predictive maintenance, condition monitoring, forecasting, fraud prevention, and more.

Plus, save a further 10% on 3+ delegates booked from the same organisation at the same time.

Topics to be discussed include:

Join leading AI&ML implementors for 3 intensive days of case-study driven content, discussing lessons learnt from implementation of AI&ML programmes including:

Demystifying AI
Identifying methodologies, models and algorithms to gain trust for AI&ML by demonstrating potency of advanced analytical software, and establishing the business case
Implementing AI
Identifying methodologies to ensure operational effectiveness of AI&ML algorithms, and determining the most feasible framework for processing high volumes of real-time sensor data
Forecasting
Capitalising on AI power to drive forecasting accuracy and leveraging smart meter data to model future consumption, supporting DER integration and demand response
Latest Technologies
Assessing ML potential to aid carbon reduction, explore future of deep learning to increase value from data, and developing algorithms to manage EV charging cycles
Maintenance
Leveraging AI to transform sensor data into predictive maintenance actions, establish methods of monitoring critical assets and utilising image processing tools to optimise maintenance practices
Managing Data
Identifying methods to maximise data lakes to address insufficiencies, inaccuracies, and support inter-utility data sharing for greater collaboration, coordination and compliance


15+ utility case studies including:

  • Jean-Philippe Poirrier: Assistant Director, Smart Grid Solutions Industrialisation Program – Enedis
  • Tadej Sinkovec: Deputy of Executive Director for Network Operations and Development – Elektro Ljubljana
  • Alessandro Perina: Senior Data Scientist – Enel
  • Ajdin Halilovic: Senior Data Scientist – Innogy
  • Shahin Abbas Zadeh: Data Scientist – Eesti Energia
  • Frank Kreuwel: Data Scientist – Alliander
  • Tobias Haumann: Data Scientist – Agder Energi Nett
  • Yamshid Farhat Quiñones: Smart Grid Engineer – BKW Energie
  • Remko Logemann: Data Scientist – TenneT
  • Alberto Azzolin: Data Scientist – Enel
  • Niels Blaauwbroek: Network Strategist – Stedin
  • Per-Oddvar Osland: Programme Manager, Smart Metering – Agder Energi Nett
  • Javier Tejedor Aguilera: Non-Technical Losses Manager – Enel
  • Dominik Gross: Analyst – 50Hertz
  • Colm Moriarty: Digital Acceleration Manager – ESB

Case Study: Tennet Reveal Use-case for Predictive Maintenance

AI&ML models have the power to transform DSO time-based maintenance practices into condition and predictive strategies. But to establish streamlined, effective and robust maintenance strategies, data scientists and asset managers must implement approaches that exploit the insights AI&ML models can provide on asset health, workforce efficiency and investment planning.

Utilities looking to operate a condition-based monitoring strategy must intelligently analyse sensor data, effectively utilise data lakes and demystify the vast array of platform features and functionalities on offer. All of this needs to be achieved to successfully realise the vast benefits that AI&ML algorithms bring.

Across Europe, smart utilities are searching for optimal strategies for integrating AI&ML models into effective predictive maintenance outcomes. At the inaugural AI&ML for the Smart Grid 2020 conference, we will be joined by Remko Logemann, Data Scientist at TenneT, who will be presenting on an exciting project that they have executed.

We caught up with him this week, and he was able to give us some more insight into his presentation:

“At TenneT, one of the greatest opportunities we have identified for value-creation is prioritising our maintenance activities.

We are optimising our processes by focusing on the assets that require maintenance based on their condition; moving from a time-based maintenance programme that is based on three, six, and twelve year cycles to the integration of data analytics and AI&ML-based models.

This provides us better insight into which assets will fail, and in the future with the addition of sensor data, also when. 


Currently, we are creating value from data that we already have housed in our data lake to gain insights in asset performance and predict failure probabilities for the coming year. These insights enable us to better monitor aging assets through a targeted maintenance strategy, and ultimately optimise utilisation of scarce resources.

Thus, we are looking to gradually extend the asset types that we have incorporated into this model, extend the model to our external service providers, and integrate external data sources into the project.”

At AI&ML for the Smart Grid 2020 in Brussels, Remko’s presentation will be one of 14+ utility case-studies by experts from regulatory bodies and consultants working for utilities, showcasing the implementation of the future of AI&ML solutions. Take advantage of a comprehensive programme covering forecasting, maintenance, demystifying and implementing AI, latest technologies, managing data, and much more. This is a truly unmissable event for all those working on a digitised smart grid looking to implement effective AI&ML platforms and processes.


Register Today!

To find out how you can participate as a Delegate, Exhibitor or Sponsor:

Call:     +44 (0)20 3691 1700

Email:  registration@smartgrid-forums.com

Visit:    AI&ML for the Smart Grid 2020

We look forward to welcoming you to the event in April!

PS: Very Early Bird Rate! – Save up to €400 on Delegate places and €2,000 on Exhibitor spaces by booking your place before Friday 28th February 2020

PPS: Group Booking Discounts – Save 10% on 3 delegates, 15% on 4 delegates, and 20% on 5+ delegates booked from the same organisation at the same time!


Registration is Live!

Registration is now live for the inaugural AI&ML for the Smart Grid 2020 conference, exhibition and networking forum. Register to gain case-study driven, innovation-focused solutions to provide you with the knowledge to capitalise on the computational power of AI&ML. You will understand how Heads of Data Science, R&D and Asset Management are drawing meaningful insights from the increased dataflows of smart grid assets.

Why this conference?

AI&ML for the Smart Grid is a vendor-independent, application-focused, case study driven conference designed specifically to meet the needs of smart utility organisations.

Through an in-depth and meticulously researched programme, you will:

  • Deepen your understanding of how to analyse AI&ML: gaining actionable insights from the amount of data
  • Learn how to communicate AI&ML benefits: establishing the benefit of data science insights within the modern utility
  • Discover how to secure investment for AI&ML: building a business case for enhancing AI&ML technology
  • Master how to gain organisational support for AI&ML: gaining buy-in for the shift towards becoming a smart utility

Discussion themes include:

Scaling Up AI&ML
Establishing a strategic framework, deriving dedicated platforms and processes and optimising your data science team capabilities to deliver many more AI&ML use-cases
Machine Learning 
Assessing the potential of machine learning and building out experimental applications to aid carbon reduction initiatives that stimulate the development of smart cities
Real 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
 Condition 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
Demand Response 
Demonstrating the capability of AI&ML to accurately match supply and demand in a more volatile grid environment
 EV Adoption 
Building out granular consumption profiles to establish demand patterns and allocate resources more effectively using AI&ML

Save the Date!

Please save the date for the inaugural AI&ML for the Smart Grid 2020 conference, exhibition, and networking forum. Designed to meet the information needs of smart utility data science teams, this programme enables you to develop a cost-effective and comprehensive scale-up strategy to drive the application of AI-driven analytics across a wide range of smart grid use-cases.

Over 3 intensive days, you will get to grips with the market drivers, utility business cases, and optimal data science team structures that need to be established to ensure the timely implementation of AI platforms and processes in support of the most ROI-heavy use-cases. Pioneering utility representatives will share their lessons learnt from applying AI&ML to predictive maintenance, condition monitoring, forecasting, fraud prevention, and more.

Alongside the case study programme, you will benefit from the foresights of the technology innovation panel discussion, and insights from the end-user focused roundtable debates. You will gain hands-on experience with the latest AI tools and technologies through the live demo labs, a comprehensive overview of the most relevant AI&ML products and services through the solution zone, as well as benefit from an evening networking reception open to all participants.


Discussion themes include:

  • Leveraging AI&ML – Examining the internal and external factors driving the need for AI&ML within the evolving digital grid; DERs, EVs, IoT
  • Scaling Up AI&ML – Establishing a strategic framework, deriving dedicated platforms and processes and optimising your data science team capabilities to deliver many more AI&ML use-cases
  • Data Science Team Structure – Defining and building the optimal work environment for data science teams within utility workforces
  • Data Lakes – Combining AI&ML with data lakes to achieve more advanced insights and unlock greater application potential through novel use cases
  • Optimal Methodologies – Identifying appropriate methodologies, models and algorithms that will generate high accuracy outputs and eliminate the need for trial and error within the grid environment
  • Gaining 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
  • Managing Data Gaps – Identifying methods to maximise reliability when working with incomplete data sets to ensure the operational effectiveness of AI&ML algorithms
  • Real 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
  • Smart Meter Data – Leveraging smart meter data to model future consumption patterns and prepare for an exponential rise in electricity demand
  • In-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
  • Predictive Maintenance – Applying AI&ML to transform high volumes of sensor data into clear and effective predictive maintenance actions
  • Condition 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
  • Forecasting – Utilising the power of AI&ML to drive forecasting accuracy for the medium and long term to better support future grid developments and grid security
  • Investment Planning – Developing an AI&ML driven methodology to optimise long term investment planning of a more complex grid
  • Vegetation 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
  • Demand Response – Demonstrating the capability of AI&ML to accurately match supply and demand in a more volatile grid environment
  • Workforce Safety – Streamlining field force scheduling and health and safety compliance through advanced applications of AI&ML
  • Fraud Prevention – Utilising the advanced data processing capabilities of AI to detect electricity theft and protect revenue by gaining greater oversight at the grid edge
  • EV Adoption – Building out granular consumption profiles to establish demand patterns and allocate resources more effectively using AI&ML
  • Machine Learning – Assessing the potential of machine learning and building out experimental applications to aid carbon reduction initiatives that stimulate the development of smart cities
  • Deep Learning – Exploring the future potential of deep learning within the grid environment as a tool to develop novel applications and create additional value from rapidly rising volumes of data
  • Machine Vision – Leveraging the potential of image processing tools to optimise asset maintenance practices and improve field force effectiveness


Speakers confirmed include:

  • Evans Poma, Head of Energy Recovery Operations – Enel
  • Ajdin Halilovic, Senior Data Scientist – Innogy
  • Alessandro Perina, Senior Scientist – Enel
  • Remko Logema, Data Scientist – Tennet
  • Niels Blaauwbroek, Network Strategist – Stedin
  • Tobias Aleksander Haumann, Data Scientist – Agder Energi Nett
  • Alberto Azzolin, Data Scientist – Enel
  • Tadej Sinkovec, MBA, Deputy of Executive Director for Network Operations and Development – Elektro Ljubljana
  • Miha Grabner, Data Scientist – Electric Power Research Institute
  • Chris Develder, Professor – Ghent University
  • Theo Borst, Business Director and Principle Consultant – DNV GL
  • Robin Hagemans, Managing Partner – Infiniot
  • Martin Stanley, Director – 4Point.
    With many others in the process of finalising their contributions!


Testimonials from our past Big Data events:

“The Smart Grid Big Data 2019 conference not only delivered high level speakers and presentations, but was also the perfect place for networking. It was a pleasure to participate in such an event and exchange knowledge with colleagues in the utility sector.”
Rita Viegas, Data Analyst – EDP Distribuicao
‘’The combination of presentations related to smart grids and machine learning analytics is probably the most relevant for any data scientist within the grid utilities.’’
Tobias Haumann, Data Scientist – Agder Energi Nett
“Grid Analytics Europe is one of the very few bodies that found an optimal balance between the technical and business level of information in specific IT case-studies in the utility universe. Great platform with huge know-how pool for both technicians, IT specialists, and managers.”
Petr Lang, Project Manager – E.ON Česká Republika
‘’The presentations were very insightful and explored the main challenges of the T&D companies and how data analytics helped solve these challenges. Some use-cases shown could lead to projects or ideas that could be developed in our company in the future.‘’
Sergio Hernan Ortega Moreno, Reliability and Risk Analyst – Transelec S.A.
“A really useful conference with interesting speakers and topics about the data management challenges grid companies face today. I got many new ideas and got inspired to start implementing these ideas.”
Femia van Stiphout, Data Management Professional – Enexis
“Grid Analytics Europe 2018 represented the perfect occasion to learn about innovation projects from our colleagues in Europe and it was a great opportunity for networking and sharing experiences and ideas.”
Luca Grella, Innovation Workstream Lead – UK Power Networks

Solution Zone:

Would you like the opportunity to raise your brand profile, demonstrate your products and services, and share your expertise with a highly concentrated and influential group of utility data science leaders and specialists? Our adjoining exhibition area provides the perfect platform for you to do this and more!

Capped at 10 stands, we ensure a focused and relevant display of the latest AI&ML-driven data analytics solutions and services for our audience, and maximum visibility and interaction levels for each exhibitor.


Register Today!

To find out how you can participate as a Delegate, Exhibitor or Sponsor:

Call:     +44 (0)20 3691 1700

Email:  registration@smartgrid-forums.com

Visit:    AI&ML for the Smart Grid 2020

We look forward to welcoming you to the event in April!

PS: Very Early Bird Rate! – Save up to €400 on Delegate places and €2,000 on Exhibitor spaces by booking your place before Friday 28th February 2020

PPS: Group Booking Discounts – Save 10% on 3 delegates, 15% on 4 delegates, and 20% on 5+ delegates booked from the same organisation at the same time!