Zobrazeno 11 - 20
of 118
pro vyhledávání: '"Gregor P. Henze"'
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
Publikováno v:
Energies, Vol 13, Iss 3, p 613 (2020)
Energies; Volume 13; Issue 3; Pages: 613
Energies; Volume 13; Issue 3; Pages: 613
This paper evaluates the potential for automated lighting control as a resource for frequency regulation of the electric grid system in the context of current energy policies, economic incentives, and technological trends. The growing prevalence of r
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
Publikováno v:
Applied Energy. 211:1106-1122
Non-intrusive load monitoring (NILM) of electrical demand for the purpose of identifying load components has thus far mostly been studied using univariate data, e.g., using only whole building electricity consumption time series to identify a certain
Publikováno v:
Applied Energy. 206:1022-1039
This paper presents a novel data-driven technique based on the spatiotemporal pattern network (STPN) for energy/power prediction for complex dynamical systems. Built on symbolic dynamical filtering, the STPN framework is used to capture not only the
Publikováno v:
Bauphysik. 39:279-290
In der Planungs- und Betriebspraxis herrscht im Bereich der Betriebsfuhrung von thermisch aktivierten Bauteilsystemen und insbesondere der thermisch tragen Bauteilaktivierung noch grose Unsicherheit. Trotz einer weiten Verbreitung dieser Systeme im N
Publikováno v:
Applied Energy. 295:117040
Price-based demand response (PBDR) has recently been attributed great economic but also environmental potential. However, the determination of its short-term effects on carbon emissions requires the knowledge of marginal emission factors (MEFs), whic