Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Wang, Haijin"'
Over-pumping of aquifers is a worldwide problem, mainly caused by agricultural water use. Among its consequences are the falling dry of streams and wetlands, soil subsidence, die-off of phreatophytic vegetation, saline water intrusion, increased pump
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/51919
Autor:
Wang, Haijin, Zhang, Mianrong, Chen, Zheng, Shang, Nan, Yao, Shangheng, Wen, Fushuan, Zhao, Junhua
Carbon footprint accounting is crucial for quantifying greenhouse gas emissions and achieving carbon neutrality.The dynamic nature of processes, accounting rules, carbon-related policies, and energy supply structures necessitates real-time updates of
Externí odkaz:
http://arxiv.org/abs/2408.09713
Publikováno v:
In Applied Numerical Mathematics September 2024 203:32-51
Publikováno v:
In Engineering Failure Analysis September 2024 163 Part A
Autor:
Du, Jinbo, Wang, Han, Chen, Chao, Ni, Minxuan, Guo, Changlong, Zhang, Shuai, Ding, Huiming, Wang, Haijin, Bi, Yunbo
Publikováno v:
In Engineering Fracture Mechanics 5 August 2024 306
Publikováno v:
In Heliyon 15 July 2024 10(13)
Publikováno v:
Journal of Applied Physics; 6/21/2024, Vol. 135 Issue 23, p1-19, 19p
Publikováno v:
In Journal of Alloys and Compounds 25 June 2024 989
Non-intrusive load monitoring (NILM) is essential for understanding customer's power consumption patterns and may find wide applications like carbon emission reduction and energy conservation. The training of NILM models requires massive load data co
Externí odkaz:
http://arxiv.org/abs/2105.11085
Non-intrusive load monitoring (NILM) aims at decomposing the total reading of the household power consumption into appliance-wise ones, which is beneficial for consumer behavior analysis as well as energy conservation. NILM based on deep learning has
Externí odkaz:
http://arxiv.org/abs/2104.01618