The energy sector is on the brink of an AI-driven revolution. Traditional analytics are evolving into self-learning, autonomous systems powered by cutting-edge technologies such as Generative AI, Large Language Models (LLMs), neuromorphic computing, federated learning, and quantum-enhanced data processing.
As energy networks generate exponentially growing real-time data streams from IoT sensors, smart meters, decentralized grids, and consumer interactions, the challenge is no longer just about processing data—it’s about understanding, predicting, and dynamically optimizing energy systems with minimal human intervention.
This workshop explores beyond-state-of-the-art methodologies that will define the next decade of energy analytics:
🔹 Generative AI & Large Language Models (LLMs) for energy optimization: How LLMs can autonomously generate real-time grid management strategies, provide AI-powered decision support, and simulate energy markets in real-time for predictive energy trading.
🔹 AI-driven autonomous energy systems: Can we develop self-regulating energy grids that predict, optimize, and balance loads without centralized human control?
🔹 Physics-informed neuromorphic computing for energy forecasting: Leveraging brain-inspired AI architectures to enable real-time, ultra-low-power decision-making in energy networks.
🔹 Swarm Intelligence for decentralized energy trading: Using multi-agent AI systems that mimic biological swarms to optimize P2P energy transactions, adaptive demand response, and self-healing grids.
🔹 Federated learning and privacy-preserving AI: Training AI models across multiple organizations without sharing raw data, unlocking new frontiers in secure energy analytics.
🔹 Quantum-enhanced machine learning for energy analytics: How quantum computing can break current limitations in ultra-fast grid simulation, market optimization, and high-dimensional energy modelling.
By bringing together leading AI researchers, energy experts, and policymakers, this workshop aims to redefine the future of energy efficiency, forecasting, and autonomous operations. This workshop is closely linked to research activities from HE Crete Valley, EnerTEF, ENPOWER, ENERGATE and METABUILD (coordinated by DSS Lab, EPU-NTUA). The workshop also features HE DEDALUS, DATAWiSE, Hedge-IoT, BuildON, CLIMRES and BUILDSPACE.
Topics of Interest:
💡 Generative AI & LLMs for real-time energy system management
💡 AI-powered digital twins for self-learning buildings and grids
💡 Neuromorphic AI architectures for ultra-low-power energy optimization
💡 Swarm intelligence & agent-based models for decentralized energy networks
💡 Federated learning & privacy-preserving AI in energy ecosystems
💡 Quantum machine learning for next-gen energy forecasting
💡 Blockchain & AI convergence for secure and autonomous energy trading
💡 Self-healing energy networks powered by reinforcement learning
Chairs:
- Vangelis Marinakis, Assistant Professor, National Technical University of Athens, Greece
- Elissaios Sarmas, Senior Researcher, National Technical University of Athens, Greece
- Elena Boskov Kovacs, Blueprint Energy Solutions GMBH, Austria
- Massimo Bertoncini, Engineering Ingegneria Informatica S.p.A., Italy
- Tudor Cioara, Full Professor of Computer Science, Technical University of Cluj-Napoca, Romania
Advancing the Energy Transition with Smart Infrastructure and Engaged Communities – Smart Energy Cluster session
The Smart Energy Cluster brings together a dynamic group of EU-funded projects that accelerate the energy transition through cutting-edge technologies and community-led approaches. Within this framework, six pioneering initiatives—ENPOWER, InEExS, DEDALUS, ENERGATE, HEDGE-IoT, and i-STENTORE—are leading the development of scalable, replicable solutions for a more sustainable, flexible, and efficient energy system across Europe.
These projects explore a broad spectrum of innovations, from blockchain-based energy services and peer-to-peer community tools to AI-powered grid orchestration, advanced energy storage, and digital marketplaces for building renovation and investment. They combine technical excellence with a deep commitment to social engagement, empowering both individuals and institutions to take active roles in shaping the energy systems of tomorrow.
For example, ENPOWER and InEExS are unlocking the potential of community energy through participatory tools, incentive mechanisms, and decentralized service models. DEDALUS builds on this by enabling carrier-agnostic demand response in residential buildings using socially informed design. On the infrastructure side, ENERGATE offers a platform for aggregating and financing energy efficiency projects, while HEDGE-IoT provides a flexible digital framework that connects IoT and AI across the energy value chain. i-STENTORE complements these efforts with innovative storage solutions that enable sector coupling and grid resilience.
Together, these projects form a holistic ecosystem. Their collective mission is to overcome key barriers, technological, financial, regulatory, and behavioral, by delivering actionable models that can scale and replicate across diverse European contexts.
This workshop will explore how these initiatives are contributing to Europe’s energy and climate goals through two thematic sessions:
- Empowering Communities for a Smarter Energy Future
Focused on citizen engagement, energy communities, and flexible demand-side services.
- Digital Foundations for a Resilient and Flexible Energy System
Highlighting the technologies and platforms that enable data-driven grid operations and sustainable infrastructure.
Participants will gain insight into innovative approaches that merge technical advancement with social participation, while also engaging in cross-sector dialogue on how to co-create resilient, efficient, and inclusive energy systems.
