Adaptive and Intelligent Edge Computing Based Building Energy Management System

Innovation Capacity

The AI-BEMS project implies the generation of new knowledge that will help to enhance the collaboration potential among the involved partners and others. This will strengthen their position and reputation and will allow further funding to undertake new projects in this area as they will have a much better knowledge of:

  • Energy consumption in the context of individual and organizational needs, abilities, and resources.
  • Social and cultural constraints and opportunities that impede behavior change and result in specific energy service demands.
  • Users’ adherence to efficient habits, inducting measurable behavioral changes.
  • Non-technological barriers empowering consumers to have an active role in reducing energy consumption through an innovative ICT concept.
  • Advances in disruptive technologies (DLTs, XAI, Edge computing…) and its wide adoption.

The new knowledge generated amongst each consortium partner is shown in the table:


IB ME will generate a valuable knowledge of energy-efficiency actions at the building level that will be able to integrate to its ESCO business, as well as the adherence to EE practices of consumers and the factors affecting these decisions.


The building of an artificial society with organizational concepts such as rules and norms based on behavioural patterns supported by new explainable artificial intelligence techniques resulting from research on hybrid neuro-symbolic algorithms.


HBKU will gain knowledge on the benefits of the edge computing model for BEMS compared to more traditional cloud approaches. In addition, it will generate new secure protocols after a risk analysis of smart buildings.