05/03/2026

From Data to Demand Reduction – Digitalising Energy in 2026

In 2026, digitalisation has become one of the most effective tools for reducing energy demand without compromising comfort, productivity or reliability. AI, real time system visibility and automated decision making are now reshaping how energy is generated, distributed and consumed across the UK.  

  Rather than simply collecting data, energy providers are beginning to translate insights into action. This includes predicting peaks before they occur, targeting inefficiencies at asset and user level, and delivering personalised interventions to households and businesses. With over 30 million homes and a diverse commercial landscape connected to digital platforms, success increasingly depends on trust, simplicity and relevance.  

This session explores how the energy sector can move beyond experimentation and embed digital tools at scale. It will examine what is working in 2026, where adoption is stalling, and how data sharing, AI and user engagement can combine to deliver measurable reductions in energy use while strengthening system resilience.  

Discussion Points:  

What does effective user engagement look like for commercial verses industrial customers 

How can AI help reduce demand and system stress before it occurs 

What role does trusted data sharing play in unlocking system wide efficiency 

How do we turn increasingly granular consumption data into practical, scalable action