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Applications of nature-inspired computing in renewable energy systems Advances in environmental engineering and green technologies (AEEGT) book series./ Mohamed Arezki Mellal.

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dc.contributor.author Mellal Mohamed Arezki
dc.date.accessioned 2024-01-29T23:36:33Z
dc.date.available 2024-01-29T23:36:33Z
dc.date.issued 2022
dc.identifier.citation Applications of nature-inspired computing in renewable energy systems Advances in environmental engineering and green technologies (AEEGT) book series. - 1 online resource : - URL: https://libweb.kpfu.ru/ebsco/pdf/3119848.pdf
dc.identifier.isbn 9781799885641
dc.identifier.isbn 179988564X
dc.identifier.isbn 1799885631
dc.identifier.isbn 9781799885634
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/182507
dc.description "Premier Reference Source" -- taken from front cover.
dc.description Includes bibliographical references and index.
dc.description.abstract "This book discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain such as microgrids, wind power, and artificial neural networks"--
dc.description.tableofcontents Some words about nature-inspired computing / Mohamed Arezki Mellal -- Nature-inspired approach using seasonal comparison of wind speed with spectral and statistical analysis : seasonal comparison of wind speed analysis / Tahir Cetin Akinci, Ramazan Caglar, Gokhan Erdemir, Aydin Tarik Zengin, Serhat Seker -- Nature-inspired algorithm applied on renewable energy integrating hydro-thermal power plant / Sunanda Hazra, Provas Roy -- Ant colony optimization algorithm for electrical power systems applications -- a literature review : ACO for electrical power systems -- a review / Ragab El-Sehiemy, Almoataz Abdelaziz -- Application of optimization to sizing renewable energy systems and energy management in microgrids : state of art and trends / Khaled Dassa, Abdelmadjid Recioui -- Artificial neural network : a new tool for the prediction of hydrate formation conditions / Anupama Kumari, Mukund Madhaw, C.B. Majumder, Amit Arora -- DNA computing : future of renewable smart computation system / Mandrita Mondal -- Hybrid optimization methods application on sizing and solving economic dispatch problems of hybrid renewable power systems / Muhammet Guneser, Abdurazaq Elbaz, Cihat Seker -- Multi-objective optimal performance of a hybrid CPSD-SE/HWT system for microgrid power generation / Bashar Shboul, Ismail AL-Arfi, Stavros Michailos, Derek Ingham, Godfrey Udeh, Lin Ma, Kevin Hughes, Mohamed Pourkashanian -- Numerical and experimental investigations on a bio-inspired design of Darrieus vertical axis wind turbine blades with leading edge tubercles / Nishant Mishra, Punit Prakash, Anand Gupta, Jishnav Dawar, Alok Kumar, Santanu Mitra -- Computational analysis of symmetric and cambered blade Darrieus vertical axis wind turbine with bio-mimicked blade design / Punit Prakash, Praveen Laws, Nishant Mishra, Santanu Mitra -- Study on reliability design of the domestic compressor subjected to repetitive internal stresses by parametric accelerated life testing / Seongwoo Woo, Dennis L. O'Neal, Yimer Hassen -- Energy resources and their consumption / Harpreet Channi.
dc.language English
dc.language.iso en
dc.relation.ispartofseries Advances in environmental engineering and green technologies (AEEGT) book series
dc.relation.ispartofseries Advances in environmental engineering and green technologies (AEEGT) book series.
dc.subject.other Renewable energy sources -- Data processing.
dc.subject.other Natural computation -- Industrial applications.
dc.subject.other Énergies renouvelables -- Informatique.
dc.subject.other Calcul naturel -- Applications industrielles.
dc.subject.other Renewable energy sources -- Data processing.
dc.subject.other Electronic books.
dc.title Applications of nature-inspired computing in renewable energy systems Advances in environmental engineering and green technologies (AEEGT) book series./ Mohamed Arezki Mellal.
dc.type Book
dc.description.pages 1 online resource :
dc.collection Электронно-библиотечные системы
dc.source.id EN05CEBSCO05C470309


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