Latest News

Our research has been highlighted in The Conversation, check it out: https://theconversation.com/ai-helps-lighten-the-load-on-the-electric-grid-without-skimping-on-peoples-energy-use-234985

Our awesome PhD student Ting-Yu Dai presented “CityTFT: A Temporal Fusion Transformer based Twin Model for Urban Building Energy Modeling” at the Int’l Conference for Computing in Civil Engineering, in Pittsburgh, July 2024.

We are excited that CityLearn will be part of the Climate Change AI Summer School 2024. Check out our Tutorial on Day 9: https://www.climatechange.ai/events/summer_school2024

Our amazing PhD researcher Kingsley, received the Best Student Paper Award at Simbuild24 in Denver for his paper: Applications in CityLearn Gym Environment for Multi-Objective Control Benchmarking in Grid-Interactive Buildings and Districts

👉 Join us at #SimBuild 2024, May 21-23! The Intelligent Environments Laboratory has three contributions: 1️⃣ “Reinforcement Learning in Building Energy Management: Challenges and Future Directions” by yours truly on 📅 May 21, 🕰 2:45pm (Presentation Session 1)

Dr Nagy gave a talk at the 2nd Annual Smart Cities and AI Innovations Symposium organized by the Urban Information Lab.

👋 As we are wrapping up course on occupant-centric grid-interactive buildings I am sharing some of its free resources for those interested in getting started blending Python with energyPlus - big thanks to Kingsley Nweye for putting these self contained jupyter notebooks together 👇

📢 Congratulations to the Winners of the CityLearn Challenge 2023 🥉🥈🥇 Really creative and interesting solutions to address energy forecasting and grid-interactive buildings! 📈 Forecasting Track : 🥇Team Pluto (Matt M.

❓How good is the advice from ChatGPT for building science? We’re glad you asked. Our CISBAT 2023 paper, led by Adam Rysanek and in collaboration with Aysegul Demir Dilsiz and Clayton Miller has the answers, and is now online.

Check out Ting-Yu Dai’s amazing work! In the workshop on Tackling Climate Change with Machine Learning, he presented “CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling” and explore the use of Transformer models in urban energy modeling.