Open lectures

Talk with professor Torben Bach Pedersen: Integrating Smart Buildings and Smart Grids using the domOS Common Ontology

2025-03-24

Smart buildings and smart grids share the goal of trying to optimize their respective operations, e.g., to use energy flexibly. However, they struggle to cooperate as they lack a common language to communicate between their different worlds.

This talk describes how the Horizon 2020 project domOS: Operating System for Smart Buildings achieved integration between smart buildings and smart grid using the domOS Common Ontology (dCO), a comprehensive language and information model for formally describing smart building and the sensors, actuators, and assets within them. The focus is on the Energy Flexibility module which extends the well-known SAREF4ENERGY ontology with energy flexibility concepts from the award-winning FlexOffer model.

Language: English

Dig-It Lab Ontology workshop – Normalisation and open standards are key to scalability

2025-01-22

This workshop on ontologies, digitalisation and standardisation in rreal estate was held on the 22nd of January 2025. Several representatives from different companies and organisations took part and presented their projects and ideas on how one can use ontologies and the semantic web to make property management more efficient.

The workshop aimed to increase awareness on the importance of ontologies, standardisation and collaboration to promote digitalisation within real estate. The discussions also touched upon the future potential of AI agents and how they can contribute to optimising property performance.

Language: Swedish

AI applications in Sustainable Energy Engineering

2024-11-13

A lecture exploring the hype around AI, addressing both its potential and its pitfalls. It also addresses ethical aspects, current research topics, and ongoing debates.

Speaker: Alva Markelius is a PhD candidate and Cambridge Trust Scholar at the Affective Intelligence and Robotics Laboratory (AFAR), Department of Computer Science, University of Cambridge. She is a recipient of the Top 100 Brilliant Women in AI Ethics™ 2024 award. She is also the chair of the Centre for Human Inspired AI Early Career Community and a student representative for Better Images of AI.

The lecture is part of the course ”AI Applications in Sustainable Energy Engineering” (MJ2507). The course aims to provide students with knowledge about the key concepts that shape artificial intelligence (AI) and its applications in sustainable energy engineering. With a focus on machine learning (ML), students will gain insight into the foundational theory and algorithms that shape ML models, as well as how to choose methods and data depending on various applications. The course also introduces potential consequences for the energy industry and the ethical aspects of AI usage.

Course responsible: Farzin Golzar

Language: English