Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Gregor P. Henze"'
Publikováno v:
IFAC-PapersOnLine. 53:524-529
Clustering is an unsupervised learning technique that is useful when working with a large volume of unlabeled data. Complex dynamical systems in real life often entail data streaming from a large number of sources. Although it is desirable to use all
Publikováno v:
BuildSys@SenSys
We present the results of The CityLearn Challenge 2021. Five teams competed over six months to design the best multi-agent reinforcement learning agent for the energy management of a microgrid of nine buildings.
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Scientific Data
Scientific Data
This paper describes development of a data acquisition system used to capture a range of occupancy related modalities from single-family residences, along with the dataset that was generated. The publicly available dataset includes: grayscale images
Publikováno v:
Energies, Vol 14, Iss 3513, p 3513 (2021)
Energies; Volume 14; Issue 12; Pages: 3513
Energies; Volume 14; Issue 12; Pages: 3513
Occupant behavior can significantly influence the operation and performance of buildings. Many occupant-centric key performance indicators (KPIs) rely on having accurate counts of the number of occupants in a building, which is very different to how
Publikováno v:
BuildSys@SenSys
We demonstrate that multi-agent reinforcement learning (RL) controllers can cooperate to provide more effective load shaping in a model-free, decentralized, and scalable way with very limited sharing of anonymous information. Rapid urbanization, incr
Publikováno v:
BuildSys@SenSys
This poster shows the results of The CityLearn Challenge 2020. 4 teams competed over 6 months to design the best reinforcement learning agent for the energy management of a microgrid.
Publikováno v:
Energies, Vol 13, Iss 5396, p 5396 (2020)
Energies; Volume 13; Issue 20; Pages: 5396
Energies; Volume 13; Issue 20; Pages: 5396
Occupancy-aware heating, ventilation, and air conditioning (HVAC) control offers the opportunity to reduce energy use without sacrificing thermal comfort. Residential HVAC systems often use manually-adjusted or constant setpoint temperatures, which h
Autor:
Gregor P. Henze, Man Pun Wan, Shiyu Yang, Krishnamoorthy Baskaran, Wanyu Chen, Swapnil Dubey, Bing Feng Ng
Using separate cooling coils for sensible and latent loads provide extra control flexibility to optimise the energy efficiency and comfort in air-conditioning and mechanical ventilation (ACMV) systems. A popular implementation of such technology is d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dbcb239dcae02c98d44352221c28773
https://hdl.handle.net/10356/155379
https://hdl.handle.net/10356/155379
Publikováno v:
BuildSys@SenSys
Demand response has the potential of reducing peaks of electricity demand by about 20% in the US, where buildings represent roughly 70% of the total electricity demand. Buildings are dynamic systems in constant change (i.e. occupants' behavior, refur
Publikováno v:
Journal of Building Performance Simulation. 12:56-67
Energy modeling for the prediction of energy use in buildings, especially under novel energy management strategies, is of great importance. In buildings there are several flexible electrical loads which can be shifted in time such as thermostatically