Broadcast: Tuesday, 8 October 2024
09h00 New York | 13h00 GMT | 14h00 London | 15h00 Amsterdam | 15h00 Johannesburg | 17h00 Dubai | 18h30 New Delhi | 21h00 Singapore
60-minute session
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 delivery
- 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 to be confirmed.
