2022
DOI: 10.1109/tii.2021.3086149
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Toward a Web-Based Digital Twin Thermal Power Plant

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Cited by 61 publications
(11 citation statements)
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“…This will substantially improve the efficiency of the Energy Internet and its essence is to greatly reduce the price paid by the uncertainty of the boundary conditions of the energy system. It can improve the synergistic benefits generated by the order of energy system operation and the security benefits brought by the security of the energy system (Lei et al, 2022). AI can predict the future operation scene of the power grid, grasp the law of the users' energy use, and remember all historical scenes.…”
Section: Information Physics Fusionmentioning
confidence: 99%
“…This will substantially improve the efficiency of the Energy Internet and its essence is to greatly reduce the price paid by the uncertainty of the boundary conditions of the energy system. It can improve the synergistic benefits generated by the order of energy system operation and the security benefits brought by the security of the energy system (Lei et al, 2022). AI can predict the future operation scene of the power grid, grasp the law of the users' energy use, and remember all historical scenes.…”
Section: Information Physics Fusionmentioning
confidence: 99%
“…Regardless of how the DT architecture develops, the interconnection between physical space and virtual space is the main focus of the DT system, which is bidirectional transmission. DT has gradually evolved to connect with CPSs, which can expand CPSs in applications [28]. Some articles combine CPS and DT and provide integrated approaches in production, smart manufacturing [21], production systems [29], micro punching systems [30], etc.…”
Section: Related Workmentioning
confidence: 99%
“…Numerous researchers and international institutions investigate thermal waste incineration plants' different modeling and optimization approaches. Exemplary, Lei et al developed a web-based digital twin of a thermal power plant to monitor and control the facility [7]. Kabugo et al [8] proposed a methodology to monitor and predict the heating value and temperature of the flue gas stream of a waste treatment plant.…”
Section: Introductionmentioning
confidence: 99%