| Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics? OB Mulayim, P Quan, L Han, X Ouyang, D Hong, M Bergés, M Srivastava Proceedings of the 11th ACM International Conference on Systems for Energy …, 2024 | 3 | 2024 |
| Unmasking the role of remote sensors in comfort, energy, and demand response OB Mulayim, E Severnini, M Bergés Data-Centric Engineering 5, e28, 2024 | 2 | 2024 |
| Unmasking the thermal behavior of single-zone multi-room houses: an empirical study OB Mulayim, M Bergés Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 2 | 2023 |
| Large Language Models for the Creation and Use of Semantic Ontologies in Buildings: Requirements and Challenges OB Mulayim, L Paul, M Pritoni, AK Prakash, M Sudarshan, G Fierro Proceedings of the 11th ACM International Conference on Systems for Energy …, 2024 | 1 | 2024 |
| Beyond average: Evaluating indoor average temperature in grey box modeling OB Mulayim, M Bergés | 1 | 2024 |
| Foundation Models for CPS-IoT: Opportunities and Challenges O Baris, Y Chen, G Dong, L Han, T Kimura, P Quan, R Wang, T Wang, ... arXiv preprint arXiv:2501.16368, 2025 | | 2025 |
| Leveraging Grey Box Models for Enhanced Energy Flexibility in Centralized and Decentralized Single-Zone Multi-Node Systems OB Mulayim, M Bergés 2024 IEEE International Conference on Communications, Control, and Computing …, 2024 | | 2024 |
| Reimagining Time Series Foundation Models: Metadata and State-Space Model Perspectives P Quan, OB Mulayim, L Han, D Hong, M Berges, M Srivastava NeurIPS Workshop on Time Series in the Age of Large Models, 0 | | |
| Semantic Technologies in Practical Demand Response: An Informational Requirement-Based Roadmap OB Mulayim, Y Agarwal, ME Berges, S Schaefer, D Supple Available at SSRN 4949725, 0 | | |
Pengrui QuanUniversity of California, Los AngelesПідтверджена електронна адреса в ucla.edu