Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Guanyu Tian"'
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Commercial buildings consume a large portion of energy and the heating, ventilation, and air conditioning (HVAC) system is the major contributor to this high consumption. Though there are many reported works on the optimal scheduling of HVAC systems,
Externí odkaz:
https://doaj.org/article/90a6d07c94bc4b08bb7a6d036d61e013
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 8, Iss 2, Pp 640-651 (2022)
Externí odkaz:
https://doaj.org/article/82e626f70ce542c08ddcb69b108c94ae
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 9, Iss 5, Pp 1043-1053 (2021)
This paper proposes a neural-network-based state estimation (NNSE) method that aims to achieve higher time efficiency, improved robustness against noise, and extended observability when compared with the conventional weighted least squares (WLS) stat
Externí odkaz:
https://doaj.org/article/94441ddb49db450488f21352e406c9f1
Publikováno v:
Energies, Vol 14, Iss 11, p 3024 (2021)
With the growth of commercial building sizes, it is more beneficial to make them “smart” by controlling the schedule of the heating, ventilation, and air conditioning (HVAC) system adaptively. Single-building-based scheduling methods are more foc
Externí odkaz:
https://doaj.org/article/d2483fafd7c745a1bb4c12f041a65507
Publikováno v:
IEEE Transactions on Power Systems. 38:290-301
Publikováno v:
IEEE Transactions on Power Systems. 37:3862-3874
Publikováno v:
IEEE Transactions on Industry Applications. 58:1654-1663
Publikováno v:
International Journal of Refrigeration. 128:95-103
Defrosting is an essential and vital part of the air source heat pump (ASHP) to restore the heating capacity and operating performance during the wintertime when the humid ambient air can cause frosting on the surface of the evaporator. A timely and
Autor:
Guanyu Tian, Qun Zhou Sun
Publikováno v:
2022 IEEE Power & Energy Society General Meeting (PESGM).
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:5497-5508
With the increasing penetration of distributed generators in the smart grids, having knowledge of rapid real-time electromechanical dynamic states has become crucial to system stability control. Conventional Supervisory Control and Data Acquisition (