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Great discussion led by Richard J. Vestner and panel Jamie Cudden, Blaine Buenger, Jerry Dehn and Zoltan Nagy on how digital twins are helping city leaders and their supply chains collaborate and make informed, data-driven decisions to improve urban living.

Our amazing PhD student Kingsley participated in the NY Climate Week at event organized by Climate Change AI and sponsored by Google DeepMind: Building a Global Community in AI for Climate: Stocktake and Vision for the Next 5 Years

In a great collaboration between Schools of Architecture, Policy and Engineering we present IMPACT Pathways, a bottom-up model with residence level granularity to estimate carbon emission pathways in cities under the impact of climate change, urban planning/development, technology adoption and grid decarbonization.

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 👇