Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Donal P. Finn"'
Publikováno v:
Energy and AI, Vol 5, Iss , Pp 100101- (2021)
This research is concerned with the novel application and investigation of ‘Soft Actor Critic’ based deep reinforcement learning to control the cooling setpoint (and hence cooling loads) of a large commercial building to harness energy flexibilit
Externí odkaz:
https://doaj.org/article/b7f15bfc253043439297058468be664b
Publikováno v:
SoftwareX, Vol 9, Iss , Pp 271-281 (2019)
This paper describes an open source smart grid software infrastructure for co-simulation between cloud-based energy management systems and a building energy model. The core component of the infrastructure is an API, which provides a protocol abstract
Externí odkaz:
https://doaj.org/article/0e762fc57dd34059a8871af1333b90f4
Publikováno v:
Energies, Vol 12, Iss 12, p 2448 (2019)
The present paper introduces an iterative methodology to progressively reduce building simulation model complexity with the aim of identifying potential trade-offs between computational requirements (i.e., model complexity) and energy estimation accu
Externí odkaz:
https://doaj.org/article/e773edd77e824efda316190b3f21cde7
Autor:
Mehdi Nasrabadi, Donal P. Finn
Publikováno v:
Advances in Building Energy Research. 16:754-779
Publikováno v:
Applied Thermal Engineering. 217:119092
Publikováno v:
Building Simulation Conference Proceedings.
Publikováno v:
Building Simulation Conference Proceedings.
Publikováno v:
Energy. 253:124097