Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings K Nweye, B Liu, P Stone, Z Nagy Energy and AI 10, 100202, 2022 | 41 | 2022 |
Ten questions concerning reinforcement learning for building energy management Z Nagy, G Henze, S Dey, J Arroyo, L Helsen, X Zhang, B Chen, ... Building and Environment 241, 110435, 2023 | 35 | 2023 |
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 | 35 | 2023 |
MERLIN: Multi-agent offline and transfer learning for occupant-centric operation of grid-interactive communities K Nweye, S Sankaranarayanan, Z Nagy Applied Energy 346, 121323, 2023 | 26* | 2023 |
Ten questions concerning occupant-centric control and operations Z Nagy, B Gunay, C Miller, J Hahn, MM Ouf, S Lee, BW Hobson, ... Building and Environment 242, 110518, 2023 | 24 | 2023 |
MARTINI: Smart meter driven estimation of HVAC schedules and energy savings based on Wi-Fi sensing and clustering K Nweye, Z Nagy Applied Energy 316, 118980, 2022 | 15 | 2022 |
Design, fabrication, and calibration of the Building EnVironment and Occupancy (BEVO) Beacon: A rapidly-deployable and affordable indoor environmental quality monitor H Fritz, S Bastami, C Lin, K Nweye, T To, L Chen, D Le, A Ibarra, W Zhang, ... Building and Environment 222, 109432, 2022 | 10 | 2022 |
CROOD: Estimating crude building occupancy from mobile device connections without ground-truth calibration JY Park, K Nweye, E Mbata, Z Nagy Building and Environment 216, 109040, 2022 | 10 | 2022 |
How spatio-temporal resolution impacts urban energy calibration AD Dilsiz, KE Nweye, AJ Wu, JH Kämpf, F Biljecki, Z Nagy Energy and Buildings 292, 113175, 2023 | 7 | 2023 |
HVAC scheduling based on Wi-Fi derived occupancy K Nweye, Z Nagy Proceedings of the 7th ACM international conference on systems for Energy …, 2020 | 7 | 2020 |
Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart meters TY Dai, P Radhakrishnan, K Nweye, R Estrada, D Niyogi, Z Nagy Computational Urban Science 3 (1), 20, 2023 | 6 | 2023 |
The CityLearn Challenge 2022 K Nweye, S Siva, GZ Nagy Texas Data Repository, 2023 | 6 | 2023 |
Real-world challenges for reinforcement learning in building control Z Nagy, K Nweye arXiv preprint arXiv:2112.06127 1, 2021 | 5 | 2021 |
Impact of covid-19 on academic campus energy use K Nweye, Z Nagy Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020 | 5 | 2020 |
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned K Nweye, Z Nagy, S Mohanty, D Chakraborty, S Sankaranarayanan, ... NeurIPS 2022 Competition Track, 85-103, 2022 | 4 | 2022 |
Offline training of multi-agent reinforcement agents for grid-interactive buildings control K Nweye, Z Nagy, B Liu, P Stone Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022 | 2 | 2022 |
Water Demand and Human Behavior during Compounding Disasters: The Case of Winter Storm Uri and the COVID-19 Pandemic LA Spearing, K Nweye, HR Tiedmann, Z Nagy, L Sela, KM Faust World Environmental and Water Resources Congress 2022, 746-754, 2022 | 2 | 2022 |
SCALEX: SCALability EXploration of Multi-Agent Reinforcement Learning Agents in Grid-Interactive Efficient Buildings Y Almilaify, K Nweye, Z Nagy Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 1 | 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 | 1 | 2023 |
Heterogeneous Multi-Agent Reinforcement Learning for Grid-Interactive Communities A Wu, K Nweye, Z Nagy Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | 1 | 2023 |