Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Shengxian Cao"'
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 160, Iss , Pp 110125- (2024)
Effective utilization of spatial–temporal information can improve the accuracy of ultra-short-term prediction of power generation from distributed photovoltaic (PV) stations in the region. This paper introduces an ultra-short-term spatial–tempora
Externí odkaz:
https://doaj.org/article/2b78089bfbad43adb363c415c6aa3116
Publikováno v:
Journal of Chemical Engineering of Japan, Vol 56, Iss 1 (2023)
The heat transfer and hydrodynamic safety of the water-cooled wall in coal-fired boilers are important guarantees for the safe and stable operation of thermal power units. In recent years, influenced by coal quality changes and load fluctuation, the
Externí odkaz:
https://doaj.org/article/d84a670e138f4de4ae3782d89a904bbc
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 630-636 (2023)
A new control method for the hybrid multi-source islanded microgrid system is proposed in this study, which aims to maintain a stable voltage of DC bus under the premise of meeting the power demand of load, and to realize the undifferentiated regulat
Externí odkaz:
https://doaj.org/article/d33dedaaa170481f8633f4ac00a7a63e
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1192-1201 (2022)
The use of neural networks to detect marine targets has been an important research direction in the field of target detection. Traditional detection models are generally only for fish, coral, large plants and animals and other easy to detect targets,
Externí odkaz:
https://doaj.org/article/a5354dfa2f2444b49dee34ce0938c69c
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1219-1229 (2022)
Accurate classification and detection of hot spots of photovoltaic (PV) panels can help guide operation and maintenance decisions, improve the power generation efficiency of the PV system, and ensure power stations’ safe and stable operation. Consi
Externí odkaz:
https://doaj.org/article/ce58f5f2572d48eb9ff63ca717c4960d
Publikováno v:
Journal of Intelligent Construction, Vol 1, Iss 3, p 9180023 (2023)
The air-cooled condenser (ACC) technology drives the decoupling of China’s water consumption and energy production. However, the optimal cleaning frequency of the ACC system has yet to be thoroughly studied. We develop a theoretical model for the t
Externí odkaz:
https://doaj.org/article/e7fbc04c69dd488a862913adc4da2dd2
Publikováno v:
PeerJ Computer Science, Vol 9, p e1218 (2023)
In this article, a data-driven model based on the incremental deep extreme learning machine (IDELM) algorithm is proposed to predict the temperature distribution in the furnace. To this end, computational fluid dynamics (CFD) simulations are carried
Externí odkaz:
https://doaj.org/article/eacdf7c09b564dedb13bd4966d093ac9
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
A novel method for the prediction of three-dimensional (3D) spatial distribution of NOx in a furnace is proposed and evaluated. Computational fluid dynamics (CFD) simulations are conducted to generate the data sets of 3D NOx spatial distribution. The
Externí odkaz:
https://doaj.org/article/a0ecd86c42ca40f2aff2e37124612eb7
Publikováno v:
发电技术, Vol 40, Iss 4, Pp 389-395 (2019)
With the rapid development of wind power industry in China, a variety of wind power utilization technologies have emerged. Starting from the current situation and existing problems of wind power utilization technology in China, this paper summarized
Externí odkaz:
https://doaj.org/article/31ff910c08c04f8faa787eb49e9d160f
Publikováno v:
Complexity, Vol 2021 (2021)
Externí odkaz:
https://doaj.org/article/1d117181b13d4f7e86ad57d942a42f71