Demand Flexibility and Machine Learning: Accelerating the decarbonisation of energy

09h00 New York | 13h00 GMT | 14h00 London | 15h00 Amsterdam | 15h00 Johannesburg | 17h00 Dubai | 18h30 New Delhi | 21h00 Singapore

As the energy sector moves toward decarbonisation, the role of Machine Learning (ML) in optimising demand flexibility becomes increasingly critical.

Leveraging ML and data to manage and balance energy demand is key to accelerating the transition to a more sustainable and resilient energy system.

This session will invite Kraken experts to explore:

• The Future of Data in Demand Flexibility
  • Current and emerging trends in Machine Learning for energy management
  • How ML and data can drive innovation, optimise demand, and support the decarbonisation of the energy grid

• Improving Energy Management and Customer Engagement
  • Discover data-driven solutions that enable dynamic energy management, personalised customer experiences, and proactive service deliver
  • Learn how these technologies can enhance operational efficiency and customer satisfaction

• Case Studies and Practical Demonstrations
  • Gain insights from Kraken’s real-world applications and success stories
  • Explore Kraken’s cutting-edge solutions, including the impact of ML and data on demand flexibility and decarbonisation efforts

Speakers

Charlotte Johnson, Global Head of Markets, Kraken (part of the Octopus Energy Group)Charlotte is passionate about accelerating the journey to net zero and regularly publishes engaging thought leadership material to a wide range of industry stakeholders.

Nina Möger Bengtsson, Client Success Director, Kraken (part of the Octopus Energy Group)With a proven track record spanning activism, politics, and business, Nina is dedicated to driving transformation in the energy sector. At Kraken, she supports energy clients develop innovative tools to make flexible and distributed electricity the go-to choice for households.

Wren White, Chief of Staff – Field, Kraken (part of the Octopus Energy Group)A strong background in operations, e-mobility, and renewable energy, Wren's work within field operations brings all of her passions together to create sustainable and efficient operational organisations led by great tech.