03/12/2024

Panel: How Machine Learning is Shaping the Future of Energy Flexibility

Machine learning (ML) is revolutionising the energy sector by enhancing flexibility services and enabling more efficient management of renewable energy sources. By analysing network data in real-time, ML algorithms can predict demand fluctuations, optimise energy storage, and improve the accuracy of flexibility services needed to balance supply and demand. 

  This session explores how ML can scale flexibility markets by enabling more granular, data-driven decision-making, allowing energy providers to offer tailored solutions to consumers and network operators. It also delves into the challenges and opportunities of implementing ML-driven flexibility, ultimately contributing to a more resilient and sustainable energy system. 

 Discussion Points:   

• How Does Monitoring of Network Data Inform the Need for Flexibility Services? 

• How can this scale up the flexibility market  

• What role does machine learning have in the provision of flexibility