This paper led by PhD student Farid Khosravikia from Patricia Clayton's group has been published in Seismological Research Letters. Check it out y'all. Farid developed neural network based models for earthquakes. DOI: https://doi.org/10.1785/0220180218 This paper, as well as our recent Read more
Temperature-preference learning with neural networks for occupant-centric building indoor climate controls
Our paper led by Yuzhen Peng from ETH Zurich has been recently published in Building & Environment. We propose an intelligent building control strategy with machine learning techniques together with its design process for creating occupant-centric indoor climate. We demonstrate 4%–25% energy Read more
Apples or Oranges? New benchmarking paper published in Applied Energy
We collected a building energy dataset (2 years, hourly data) of unprecedented size (3829 buildings) and variety (75 programs). And using machine learning, we discovered three fundamental load shape profiles that characterize the temporal energy use in any of the buildings. The existence of Read more
Fusing TensorFlow with CitySim for Smart Cities
The journal Sustainable Cities and Society has published our paper Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities led by our awesome PhD student Jose. We have developed CitySim, a framework to study multi-agent reinforcement learning using Read more
Review paper published & selected for special section in APEN
Our paper Reinforcement learning for demand response: A review of algorithms and modeling techniques led by IEL's PhD student Jose has been published in Applied Energy. We're thrilled that it has been selected by the editors to be included into the Special Section Progress in Applied Energy. J.R. Read more
- « Previous Page
- 1
- 2
- 3
- 4
- …
- 6
- Next Page »