This special session is motivated by the need for Europe to transition its energy markets into smart energy systems that support bi-directional flows of revenue, energy and information, the increased penetration of distributed energy resources (DER), and the self-consumption of on-site generation. Under this vision, the integration of energy, ICT services (monitoring, analysis, planning and adaptation) and security (growing exposure to cyber attacks) is at the heart of smart energy management systems, which will result in new dynamic interplay between the demand-side (intelligent buildings) and the supply side (smart grid).

In this context intelligent buildings have to tackle the challenges of smarter energy management, enhanced automation and connectivity. Facing environmental policies and cost-reduction objectives, building managers are asking for adequate solutions to predict, monitor, control, command, and optimize energy consumption, in the context of all the energy transactions and service provision opportunities. The trend toward smart building is enabled by the growing integration of Information Technology and Operational Technology. An unwanted consequence of this is the growing exposure to cyber-attacks.

AI is expected to play a key role in this new relationship between the smart buildings and the smart grid. This special session, therefore, aims to bring together researchers and practitioners from diverse areas of AI, distributed computing, intelligent decision making, smart management, communication and cybersecurity to explore new applications of AI techniques in the fields of the smart building and the smart grid. 


  • Innovative distributed software components for secured monitoring, forecasting and optimal management of smart buildings and smart grids
  • Distributed decision making and distributed optimisation
  • Mechanisms and Strategies for Aggregation Management
  • Demand flexibility
  • New incentives for environment-minded consumption
  • Agent and multi-agent simulation, management and control
  • Anomaly and attack detection on distributed heterogeneous networks
  • Learning and knowledge discovery techniques
  • Negotiation and trading strategies
  • Convergence of security, safety and efficiency measures
  • Trusted monitoring
  • Data privacy preserving techniques
  • Human-computer interactions and human-in-the-loop systems
  • Trusted billing
  • Semantic communications
  • Resilient self-organizing sensor networks


Organizing Committee

  • Isabel Praça, Polytechnic of Porto – School of Engineering (ISEP), Portugal
  • Adrien Becue, Airbus Defence & Space Cybersecurity, France
  • Zita Vale, Polytechnic of Porto – School of Engineering (ISEP), Portugal
  • Meritxell Vinyals, CEA, France

Program Committee

  • Amin Shokri, USAL, Spain
  • André Richter, OVGU, Germany
  • Dante Tapia, Nebusens, Spain
  • Guillaume Habault, IMT, France
  • Hassan Sleiman, CEA, France
  • Helia Pouyllau, TRT, France
  • Hugo Morais, EDF, France
  • Isabel Praça, IPP, Portugal
  • Jerome Rocheteau, ICAM, France
  • Lamya Belhaj, ICAM, France
  • Maxime Lefrançois, Armines, France
  • Maxime Velay, CEA, France
  • Meritxell Vinyals, CEA, France
  • Noël Crespi, IMT, France
  • Nouredin Tamani, ULR, France
  • Óscar García, Nebusens, Spain
  • Pedro Faria, IPP, Portugal
  • Philippe Calvez, Engie, France
  • Samuel Abreu, IFSC, Brasil
  • Sandra G. Rodriguez, CEA, France
  • Serge Dedeystere, IMT, France
  • Shohreh Ahvar, IMT, France
  • Sidi-Mohammed Senouci, UB, France
  • Tiago Pinto, IPP, Portugal
  • Tiago Soares, DTU, Denmark
  • Zita Vale, IPP, Portugal


Isabel Praça -
Polytechnic of Porto (Portugal)

Adrien Becue -
Airbus Defense & Space Cybersecurity (France)

Zita Vale -
Polytechnic of Porto (Portugal)

Meritxell Vinyals -
Commissariat à l'énergie atomique et aux énergies alternatives (France)