Titlebook: Renewable Energy Resources and Conservation; Philip Pong Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive licens

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书目名称Renewable Energy Resources and Conservation影响因子(影响力)




书目名称Renewable Energy Resources and Conservation影响因子(影响力)学科排名




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书目名称Renewable Energy Resources and Conservation网络公开度学科排名




书目名称Renewable Energy Resources and Conservation被引频次




书目名称Renewable Energy Resources and Conservation被引频次学科排名




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书目名称Renewable Energy Resources and Conservation年度引用学科排名




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书目名称Renewable Energy Resources and Conservation读者反馈学科排名

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Renewable Energy Resources and Conservation978-3-031-59005-4Series ISSN 1865-3529 Series E-ISSN 1865-3537

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Green Energy and Technologyhttp://image.papertrans.cn/r/image/827076.jpg

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https://doi.org/10.1007/978-3-031-59005-4Renewable Energy; Solar Energy; Energy Conservation; Energy Storage; Wind Energy; Biomass Energy; Nuclear

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Classification of Types of Daily Solar Radiation Patterns Using Machine Learning Techniquesverage frequency of occurrence. The use of neural networks demonstrates satisfactory results when classifying solar irradiation patterns by not requiring prior knowledge of climatic and geographic parameters.

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Hydrogen Fuel for a Sustainable Aviationn aircraft are presented and discussed. Results revealed that despite the numerous advantages of using hydrogen in aviation sector, many challenges slowed down the development of hydrogen fuel. These challenges are mainly the high price of green hydrogen generation, difficulty of storing hydrogen, a

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Experimental Evaluation of a Prototype for the Micro Production of Green Hydrogen0 A). Once all the tests mentioned above were carried out, the efficiency of the prototype was evaluated, resulting in an efficiency of 18.27% that was obtained with a production of 7.47 g for 4 h with an energy consumption of 152.32 kW..The costs incurred in each of the test scenarios for hydrogen