The Blade and Handle of Energy: Cutting Edge R&D and Data for Energy Assets and Markets
Watch to hear from two perspectives of utilising data at EDF(UK) to deliver energy to our customers. The blade is R&D where we are exploring cutting edge tech in AI and computer vision to explore how we monitor and inspect our energy assets like wind turbines. The handle to the blade is EDF Wholesale Market Services, the driver and bridge between generation and our customers. It’s more important now than ever to optimise our position in the energy markets so that we can be better in providing energy to our customers. We will explore the use cases of AI on our physical assets, how we modernise legacy market data systems, how we utilise data to equip our data scientists to forecast energy, how we use data to develop applications for real-time trading, and more.
Gustavo Medina Vazquez: Computer vision for remote inspections of energy assets
Maintaining energy infrastructure in top condition is vital for efficient energy production. However, human inspection tasks can be repetitive, time-consuming and prone to human error. On the other hand, the widespread adoption of machine learning across many fields is finally starting to unlock the previously untapped potential for AI in industry. Therefore, EDF is developing Computer Vision solutions to aid its engineers to perform automatic inspections of energy assets.
In this talk, we explore how computer vision can be leveraged to support remote inspections in the energy industry.
Adrian Causby: How we use Data to Better Position Ourselves in the Wholesale Energy Markets
The energy markets are a hot topic right now. It’s more important now than ever, to optimise our position in the energy markets so that we can be better in providing energy to our customers. EDF Wholesale Market Services (WMS) is the glue between the generation of energy, and providing energy to our customers in trading energy through the markets. To do this, we have masses amounts of data that need to be used by our energy experts. We are forecasting when the sun shines, when the wind blows, and when you switch the kettle on. We are enabling renewable generation, helping the grid, and championing a cheaper energy network. We do this by creating intelligent services that help keep the system balanced, minimising costs for our customers and maximising value for our storage providers. In this session, we will talk about how data is used at high level perspective at WMS, from source to delivery. We will explore how we modernise legacy data systems, how we utilise data to equip our data scientists to forecast energy, how we use data to develop serverless real-time on-screen applications for real-time trading and more.
A video on who we are: https://www.youtube.com/watch?
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