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Gregor Henze
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2020 – today
- 2023
- [c8]Vahid Aryai
, Nariman Mahdavi
, Samuel R. West, Gregor Henze
:
An automated data-driven platform for buildings simulation. BuildSys@SenSys 2023: 61-68 - 2021
- [j2]Margarite Jacoby
, Sin Yong Tan
, Mohamad Katanbaf
, Ali Saffari
, Homagni Saha
, Zerina Kapetanovic
, Jasmine Garland
, Anthony Florita
, Gregor Henze
, Soumik Sarkar
, Joshua R. Smith
:
WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction. J. Sens. Actuator Networks 10(4): 71 (2021) - [c7]Kingsley Nweye, Zoltán Nagy, Sharada P. Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian:
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 2021: 85-103 - [c6]Zoltán Nagy, José R. Vázquez-Canteli, Sourav Dey, Gregor Henze:
The citylearn challenge 2021. BuildSys@SenSys 2021: 218-219 - [i3]Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor Henze, Soumik Sarkar:
Granger Causality Based Hierarchical Time Series Clustering for State Estimation. CoRR abs/2104.04206 (2021) - 2020
- [c5]José R. Vázquez-Canteli, Gregor Henze, Zoltán Nagy:
MARLISA: Multi-Agent Reinforcement Learning with Iterative Sequential Action Selection for Load Shaping of Grid-Interactive Connected Buildings. BuildSys@SenSys 2020: 170-179 - [c4]José R. Vázquez-Canteli, Sourav Dey, Gregor Henze, Zoltán Nagy:
The CityLearn Challenge 2020. BuildSys@SenSys 2020: 320-321 - [i2]Markus Fleschutz, Markus Bohlayer, Marco Braun, Gregor Henze, Michael D. Murphy:
The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices. CoRR abs/2012.00375 (2020) - [i1]José R. Vázquez-Canteli, Sourav Dey, Gregor Henze, Zoltán Nagy:
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management. CoRR abs/2012.10504 (2020)
2010 – 2019
- 2019
- [c3]Sin Yong Tan
, Homagni Saha, Anthony R. Florita, Gregor P. Henze, Soumik Sarkar:
For publication in 2019 ACC A flexible framework for building occupancy detection using spatiotemporal pattern networks. ACC 2019: 5884-5889 - [c2]José R. Vázquez-Canteli
, Jérôme Henri Kämpf
, Gregor Henze, Zoltán Nagy
:
CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning. BuildSys@SenSys 2019: 356-357 - 2018
- [c1]Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar:
Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC 2018: 1052-1057
2000 – 2009
- 2009
- [j1]Gregor Henze
, Bernd Biffar, Marcus Wienecke, Martin P. Becker:
Analysis of Thermal Energy Storage for a Pharmaceutical Company (Analyse eines thermischen Energiespeichers für ein pharmazeutisches Unternehmen). Autom. 57(9): 443-452 (2009)
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