Latest News

We are thrilled to announce the publication of MERLIN, a significant milestone in the Intelligent Environments Laboratory’s journey to address real-world challenges of adopting Reinforcement Learning Control (RLC) for grid-interactive buildings and demand side energy management.

We are happy to announce the #ACMBuildSys23 Conference 🧠🤖🏢 Call for Papers! This year the conference will be held on Nov 15-16, 2023, in Istanbul, Turkey 🇹🇷 – BuildSys (https://lnkd.in/gZnPYmFc) is one of the best venues for work at the convergence of #computerscience / #datascience and #builtenvironment / #urbanscience / #architecture!

We’re pleased to announce 📣 the launch of CityLearn V2beta. This new release is a significant step towards realizing energy flexibility in smart buildings 🏙️. Check it out at 👉 http://www.

📣 Hot off the press! It has been an honor to collaborate with an extraordinary team of researchers from around the globe on our recent paper titled, “Ten questions concerning reinforcement learning for building energy management.

🔎 Physics-informed machine learning (PIML) stands at the crossroads of machine learning algorithms and physical constraints, offering a more informed approach compared to purely data-driven methods. The tutorial aims to provide an overview of recent advances in PIML for dynamical system modeling and control, discussing theory, methods, tools, and applications.

We are thrilled to share the results of our recent study, addressing the crucial role of Urban Energy Models (UBEMs) in evaluating the energy performance of buildings, ranging from individual buildings to entire districts.

Dr Nagy gave a research webinar talk “Designing Grid-Interactive Smart Communities using CityLearn.” for the USA branch of IBPSA.

If you are at #ICLR2023 this week. Catch our awesome PhD student Kingsley Nweye(virtually) at the Workshop on Tackling Climate Change with Machine Learning. In the poster sessions, you can get a gentle tutorial introduction to CityLearn (www.

🚨 #IEA #Annex79’s Occupant-Centric Simulation-Aided Building Design open-access book is out and downloadable for FREE! 🚨 Get your free digital copy at: https://lnkd.in/ga_jkqJT This book is a significant output of Annex 79 and was led by Liam (William) O’Brien from Carleton Engineering And Design and Farhang Tahmasebi from UCL!

Our Smart Buildings and Cities course is wrapping up this week with student project presentation. The breadth of the topics (see image) shows the breadth of applications of machine learning and artificial intelligence in Civil, Architectural and Environmental Engineering.