Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Changhong Xie"'
Publikováno v:
Buildings, Vol 14, Iss 2, p 363 (2024)
With its rapid economic development, China has had to confront the serious issues of high energy consumption and air pollution. Natural ventilation is regarded as an effective method to reduce building energy consumption, but it is largely influenced
Externí odkaz:
https://doaj.org/article/3da14c784a8c4ce68b713fe127e809bd
Autor:
Dongxiao Wang, Changhong Xie, Runji Wu, Chun Sing Lai, Xuecong Li, Zhuoli Zhao, Xueqing Wu, Yi Xu, Loi Lei Lai, Jinxiao Wei
Publikováno v:
IEEE Access, Vol 9, Pp 6137-6151 (2021)
Internet data centers are growing rapidly in recent years and they operate with intensive energy activity. Combined cooling, heating and power (CCHP) brings new opportunities for reducing the electricity cost in internet data centers. The main object
Externí odkaz:
https://doaj.org/article/695e8615e6654c0c9540a66532f8c5d4
Publikováno v:
Forecasting, Vol 2, Iss 4, Pp 470-487 (2020)
Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a great challenge to implement effective demand response projects and make a precise customer baseline (CBL) prediction. To solve the problem, this paper propose
Externí odkaz:
https://doaj.org/article/d2e81443e78e47dbab190e0660fcd181
Autor:
Ximing Xu, Yong-Qing Yang, Zheng Lu, Yue Xu, Ze Wen, Changhong Xie, Chengyue Xie, Mengqian Yu, Lingyun Gao
Publikováno v:
Synthesis. 55:473-480
Release of alcohol from quinone propionic esters (QPEs) propelled by visible-light is reported. 1°, 2°, and allylic alcohols could be freed from the corresponding QPEs under radiation from blue LED bulb in the presence of a photocatalyst. Ten examp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c25b332128d28da45dcc83ee1417713
https://doi.org/10.1055/a-1931-6711
https://doi.org/10.1055/a-1931-6711
Autor:
Yi Xu, Xueqing Wu, Xuecong Li, Dongxiao Wang, Runji Wu, Chun Sing Lai, Zhuoli Zhao, Changhong Xie, Loi Lei Lai, Jinxiao Wei
Publikováno v:
IEEE Access, Vol 9, Pp 6137-6151 (2021)
Internet data centers are growing rapidly in recent years and they operate with intensive energy activity. Combined cooling, heating and power (CCHP) brings new opportunities for reducing the electricity cost in internet data centers. The main object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cd7d09d1f33213c8f56e53b2545eb7d
https://ieeexplore.ieee.org/document/9312606/
https://ieeexplore.ieee.org/document/9312606/
Autor:
Keda Pan, Zhaohua Chen, Chun Sing Lai, Changhong Xie, Dongxiao Wang, Zhuoli Zhao, Xiaomei Wu, Ning Tong, Loi Lei Lai, Nikos D. Hatziargyriou
10.13039/501100007914-Brunel University London (Grant Number: BRIEF Funding); 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 51907031); Education Department of Guangdong Province (Grant Number: 2016KCXTD022); Depart
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e86b73bacd0cec620c764df1aa7f4953
https://bura.brunel.ac.uk/handle/2438/24573
https://bura.brunel.ac.uk/handle/2438/24573
Autor:
Keda Pan, Zhaohua Chen, Chun Sing Lai, Changhong Xie, Dongxiao Wang, Xuecong Li, Zhuoli Zhao, Ning Tong, Loi Lei Lai
Department of Finance and Education of Guangdong Province 2016 [202]: Key Discipline Construction Program, China; Education Department of Guangdong Province: New and Integrated Energy System Theory and Technology Research Group [Project Number 2016KC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60430a18adf45fa2b105273855c00148
https://bura.brunel.ac.uk/handle/2438/23898
https://bura.brunel.ac.uk/handle/2438/23898
Publikováno v:
Forecasting
Volume 2
Issue 4
Pages 25-487
Forecasting, Vol 2, Iss 25, Pp 470-487 (2020)
Volume 2
Issue 4
Pages 25-487
Forecasting, Vol 2, Iss 25, Pp 470-487 (2020)
© 2020 by the authors. Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a great challenge to implement effective demand response projects and make a precise customer baseline (CBL) prediction. To solve the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34b5c766988503497e8e553c2f6de693
https://bura.brunel.ac.uk/handle/2438/21797
https://bura.brunel.ac.uk/handle/2438/21797
Autor:
Runji Wu, Loi Lei Lai, Dongxiao Wang, Zhuoli Zhao, Jiachang Huang, Changhong Xie, Chun Sing Lai
Publikováno v:
ISC2
One of the key domains in smart cities is smart energy in which smart grid is a main focus. In recent years, with the development of smart grid, controllable air conditioning load participating in demand response projects and the application of renew
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1ed037856f560eaa85b872b4958afef
https://bura.brunel.ac.uk/handle/2438/22744
https://bura.brunel.ac.uk/handle/2438/22744