| Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives H Li, H Johra, F de Andrade Pereira, T Hong, J Le Dréau, A Maturo, ... Applied Energy 343, 121217, 2023 | 50 | 2023 |
| A critical review of control schemes for demand-side energy management of building clusters K Kaspar, M Ouf, U Eicker Energy and Buildings 257, 111731, 2022 | 35 | 2022 |
| Data and AI Driving Smart Cities P Ponce, T Peffer, JIM Garduno, U Eicker, A Molina, T McDaniel, ... Springer, 2023 | 4 | 2023 |
| Comparison between a linear regression and an artificial neural network model to detect and localize damage in the powder mill bridge K Kaspar, E Santini-Bell, M Petrik, M Sanayei Transportation Research Record 2674 (8), 394-404, 2020 | 4 | 2020 |
| A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn K Nweye, K Kaspar, G Buscemi, G Pinto, H Li, T Hong, M Ouf, A Capozzoli, ... Building Simulation 2023 18, 3346-3353, 2023 | 3 | 2023 |
| CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities K Nweye, K Kaspar, G Buscemi, G Pinto, H Li, T Hong, M Ouf, A Capozzoli, ... Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 2 | 2023 |
| Demand Side Management and Transactive Energy Strategies for Smart Cities P Ponce, T Peffer, JI Mendez Garduno, U Eicker, A Molina, T McDaniel, ... Data and AI Driving Smart Cities, 193-227, 2023 | 2 | 2023 |
| CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities K Nweye, K Kaspar, G Buscemi, T Fonseca, G Pinto, D Ghose, ... arXiv preprint arXiv:2405.03848, 2024 | 1 | 2024 |
| A Protocol for Using Long-Term Structural Health Monitoring Data to Detect and Localize Damage in Bridges K Kaspar University of New Hampshire, 2018 | 1 | 2018 |
Masoud Sanayei, Ph.D.Tufts University, CEE Department在 tufts.edu 的电子邮件经过验证
