Talk at NeurIPS CCAI Workshop
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. 🏙️
🚀 Key Contributions:
• Derived from TFT, a Transformer-based forecasting model, to capture the unseen weather dynamics.
• A customized probabilistic loss function to improve the load prediction.
Zoltan Nagy
Assistant Professor
My research interests include reinforcement learning for buildings and smart cities.