Xueqian fu (39 risultati)

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Condizione: As New. Unread book in perfect condition.

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Hardback. Condizione: New. In smart agriculture, core functions such as agricultural machinery automation, intelligent environmental sensing, and precision crop management rely heavily on continuous, high-quality energy supply. Intelligent power systems tailored to agricultural scenarios are essential to realizing unmanned farms. Moreover, as a result of rural revitalization strategies and national programmes such as China's dual carbon goals, rural areas and agriculture are no longer merely energy consumers. Agricultural and rural zones are increasingly becoming important providers of distributed renewable energy and suitable deployment sites for energy infrastructure. As such, the agricultural energy internet is now entering a critical stage of rapid development and engineering transformation. Evolution of the Agricultural Energy Internet: Modeling, simulation and engineering practice focuses on the field of agricultural energy and falls under the discipline of agricultural electrification and automation. The book systematically elaborates on the principles and applications of the agricultural energy internet through theoretical modelling, simulation techniques and engineering case studies - especially in response to the growing demand for clean, reliable, and intelligent power supply systems that enable the future development of unmanned and smart agriculture. A key feature of this book lies in its integrated structure combining theoretical analysis, code implementation, and real-world engineering cases. Chapters offer a systematic overview of modelling and simulation, methods for agricultural energy internet systems, provide reproducible code implementations, and present in-depth case studies based on projects including the aqua photonics-based agricultural energy internet at the Smart Farm in Zhuoxhou, Hebei Province, China, and the agricultural park in Langyatai, Qingdao, China. The closed-loop content design - from theory to simulation to engineering validation - makes the book suitable both for researchers developing algorithms and models, and for engineers seeking practical guidance in system deployment.…

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Condizione: New. 2026. hardcover. . . . . .

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Condizione: New. 1st edition NO-PA16APR2015-KAP.

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Condizione: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

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Hardcover. Condizione: Brand New. 472 pages. 6.14x2.00x9.21 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. In smart agriculture, core functions such as agricultural machinery automation, intelligent environmental sensing, and precision crop management rely heavily on continuous, high-quality energy supply. Intelligent power systems tailored to agricultural scenarios are essential to realizing unmanned farms. Moreover, as a result of rural revitalization strategies and national programmes such as China's dual carbon goals, rural areas and agriculture are no longer merely energy consumers. Agricultural and rural zones are increasingly becoming important providers of distributed renewable energy and suitable deployment sites for energy infrastructure. As such, the agricultural energy internet is now entering a critical stage of rapid development and engineering transformation. Evolution of the Agricultural Energy Internet: Modeling, simulation and engineering practice focuses on the field of agricultural energy and falls under the discipline of agricultural electrification and automation. The book systematically elaborates on the principles and applications of the agricultural energy internet through theoretical modelling, simulation techniques and engineering case studies - especially in response to the growing demand for clean, reliable, and intelligent power supply systems that enable the future development of unmanned and smart agriculture. A key feature of this book lies in its integrated structure combining theoretical analysis, code implementation, and real-world engineering cases. Chapters offer a systematic overview of modelling and simulation, methods for agricultural energy internet systems, provide reproducible code implementations, and present in-depth case studies based on projects including the aqua photonics-based agricultural energy internet at the Smart Farm in Zhuoxhou, Hebei Province, China, and the agricultural park in Langyatai, Qingdao, China. The closed-loop content design - from theory to simulation to engineering validation - makes the book suitable both for researchers developing algorithms and models, and for engineers seeking practical guidance in system deployment.…

Paperback. Condizione: New. Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis addresses uncertainty issues in photovoltaic power generation while also supporting the collaborative enhancement of understanding and applying theory and methods through the integration of models, cases, and code. The book employs StaRAI to address uncertainty analysis and modeling issues at different time scales in photovoltaic power generation, including photovoltaic power prediction, probabilistic power flow, stochastic planning, and more. Chapters cover uncertainty of PV power generation from short to long time scales, including day-ahead scheduling (24 hours in advance), intraday scheduling (minute to hour rolling), and grid planning (15 years).Other sections study the impact of photovoltaic uncertainty on the power grid, offering the most classic cases of probabilistic load flow and PV stochastic planning.The theoretical content of this book is not only systematic but supplemented with concrete examples and MATLAB/Python codes. Its contents will be of interest to all those working on photovoltaic planning, power generation, power plants, and applications of AI, including researchers, advanced students, faculty engineers, RandD, and designers.…

Buch. Condizione: Neu. Neuware - In smart agriculture, core functions such as agricultural machinery automation, intelligent environmental sensing, and precision crop management rely heavily on continuous, high-quality energy supply. Intelligent power systems tailored to agricultural scenarios are essential to realizing unmanned farms. Moreover, as a result of rural revitalization strategies and national programmes such as China's dual carbon goals, rural areas and agriculture are no longer merely energy consumers. Agricultural and rural zones are increasingly becoming important providers of distributed renewable energy and suitable deployment sites for energy infrastructure. As such, the agricultural energy internet is now entering a critical stage of rapid development and engineering transformation. Evolution of the Agricultural Energy Internet: Modeling, simulation and engineering practice focuses on the field of agricultural energy and falls under the discipline of agricultural electrification and automation. The book systematically elaborates on the principles and applications of the agricultural energy internet through theoretical modelling, simulation techniques and engineering case studies - especially in response to the growing demand for clean, reliable, and intelligent power supply systems that enable the future development of unmanned and smart agriculture. A key feature of this book lies in its integrated structure combining theoretical analysis, code implementation, and real-world engineering cases. Chapters offer a systematic overview of modelling and simulation, methods for agricultural energy internet systems, provide reproducible code implementations, and present in-depth case studies based on projects including the aqua photonics-based agricultural energy internet at the Smart Farm in Zhuoxhou, Hebei Province, China, and the agricultural park in Langyatai, Qingdao, China. The closed-loop content design - from theory to simulation to engineering validation - makes the book suitable both for researchers developing algorithms and models, and for engineers seeking practical guidance in system deployment.…

Condizione: New. Explores how Statistical Relational Artificial Intelligence (StaRAI) can be applied to photovoltaic power prediction, maintenance, and planningProvides a theoretical framework supported by schematic diagrams, real examples, and code.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Includes a clear and incisive introduction to the nexus of agricultural needs, power grids, and smart energyPresents practical toolkits for a variety of scenarios, with detailed case studies, code files, and transparent data sharing.

Paperback. Condizione: New. Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis addresses uncertainty issues in photovoltaic power generation while also supporting the collaborative enhancement of understanding and applying theory and methods through the integration of models, cases, and code. The book employs StaRAI to address uncertainty analysis and modeling issues at different time scales in photovoltaic power generation, including photovoltaic power prediction, probabilistic power flow, stochastic planning, and more. Chapters cover uncertainty of PV power generation from short to long time scales, including day-ahead scheduling (24 hours in advance), intraday scheduling (minute to hour rolling), and grid planning (15 years).Other sections study the impact of photovoltaic uncertainty on the power grid, offering the most classic cases of probabilistic load flow and PV stochastic planning.The theoretical content of this book is not only systematic but supplemented with concrete examples and MATLAB/Python codes. Its contents will be of interest to all those working on photovoltaic planning, power generation, power plants, and applications of AI, including researchers, advanced students, faculty engineers, RandD, and designers.…