Industrial Domains

Energy

The Energy industrial domain is driving the transition to sustainable, resilient energy systems by using AI to address challenges like RES variability and forecasting uncertainties. AI enhances decision-making in real-time energy system operations, improving grid stability and integrating decentralized resources like renewable energy, energy storage, and EVs.
AI also aids in the evolution of electricity markets by automating decision-making in local energy communities, such as peer-to-peer trading. It supports system resilience by integrating diverse data sources, helping to mitigate risks like climate change and cyber-attacks. Additionally, AI optimizes electricity demand patterns through smart devices, enabling innovations like energy poverty forecasting and efficiency recommendations, reducing costs and increasing grid flexibility.

Sub-Domains
Use Cases
Projects



Project: Physics-aware neural networks and edge processing for low voltage systems (PANNEL)  


Project: Advancing Power Grid Inspection with SCENE-Net 1.5  





Project: SEASHINE – Safe intelligent agent to optimize ship energy management 



Projects: AI-based Edge Control of Electric Vehicles in Low-Voltage Grids Considering Operational Issues in Green Energy Systems with High Penetration of Renewable Energies