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標(biāo)題: Titlebook: Reconstruction and Intelligent Control for Power Plant; Chen Peng,Chuanliang Cheng,Ling Wang Book 2023 The Editor(s) (if applicable) and T [打印本頁]

作者: deteriorate    時間: 2025-3-21 19:26
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作者: 最高峰    時間: 2025-3-21 21:51

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作者: 酷熱    時間: 2025-3-22 06:40
nd environmental justice in a context of post-normal science. The methodology used to produce the reflective synthesis was constructed from workshops. Initially the researchers presented their individual research (Scientific initiation, masters, doctoral, and post-doctoral) around the clusters, seek
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Chen Peng,Chuanliang Cheng,Ling Wanggrin Ministry of Science from 2015 until 2019. The paper presents the main categories of katun dwellers’ perception of forests based on relevant historical sources, literature, and findings of intensive fieldwork and communication with the local population. These categories include the relationship
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Chen Peng,Chuanliang Cheng,Ling Wange human-nonhuman interrelations (Shiva, 2020). The present corporate culture is disrupting the interrelationship between humans and nonhumans, widening the chasm between the two, thereby, disturbing the balance of Mother Earth. This can be viewed as a deprivation of Mother Earth’s rights since her w
作者: Orchiectomy    時間: 2025-3-23 10:43
Chen Peng,Chuanliang Cheng,Ling Wangively slow to gain traction in South Asia, an increasing momentum towards transdisciplinary approaches to ecology and sustainability is palpable in India.?Comprising fourteen chapters, this contributed volume is the first major publication to call attention to current work in the environmental human
作者: convert    時間: 2025-3-23 14:34
Chen Peng,Chuanliang Cheng,Ling WangBandyopadhyay purposefully emphasized the environmental thought to coalesce around the importance of conserving forests, wildlife, and flora in an era, particularly when globalization has “given rise to the threat of global warming and mass extinction” (Chakrabarty, 2021, p. 7). Works to be consider
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作者: 難取悅    時間: 2025-3-24 02:45
Reconstruction and Intelligent Control for Power Plant
作者: 哪有黃油    時間: 2025-3-24 10:28

作者: dainty    時間: 2025-3-24 11:08
978-981-19-5576-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
作者: Explosive    時間: 2025-3-24 17:48
IntroductionAs the most important fossil energies on earth, coal, oil and natural gas are difficult to regenerate. If they are used without any restraint, we will face the depletion of these energies in the near future. Besides, the combustion of fossil fuels will produce a large number of hazardous substances.
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作者: 配偶    時間: 2025-3-25 06:42
Deep-Neural-Network Based Nonlinear Predictive Control for Power PlantThe dynamic economic optimization of ultra supercritical (USC) boiler-turbine unit has become an important task in modern power plants.
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作者: 惰性女人    時間: 2025-3-25 17:08
http://image.papertrans.cn/r/image/824244.jpg
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作者: antiandrogen    時間: 2025-3-26 01:48
Fuzzy ,-Means Network Based Generalized Predictive Control for Power Plantsions. Due to the complexity of the system and the strong nonlinearity under large-scale load variations, conventional control methods are difficult to realize the coordinated control in the case of load tracking and power grid frequency disturbances.
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作者: Cerumen    時間: 2025-3-26 20:02
ze the optimal learning of the characteristics of power plan.The authors‘ innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficie
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作者: Traumatic-Grief    時間: 2025-3-27 10:54
Fuzzy ,-Means Network Based Generalized Predictive Control for Power Plantsions. Due to the complexity of the system and the strong nonlinearity under large-scale load variations, conventional control methods are difficult to realize the coordinated control in the case of load tracking and power grid frequency disturbances.
作者: HEDGE    時間: 2025-3-27 13:35
Adaptive Mixed Edge Detection of Furnace Flame Imagent position parameters of the target area. However, due to the complexity of the furnace?environment in coal-fired power plants, the existing edge detection algorithms generally can not be directly used to deal with discontinuous edges, coarse edges, false edges, etc.
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作者: maroon    時間: 2025-3-28 00:33
ruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering..978-981-19-5576-1978-981-19-5574-7
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