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Applications of Nature-Inspired Computing in Renewable Energy Systems

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Title: Applications of Nature-Inspired Computing in Renewable Energy Systems
Description: Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems 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. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.
Authors: Mohamed Arezki Mellal
Resource Type: eBook.
Subjects: Renewable energy sources--Data processing, Natural computation--Industrial applications
Categories: TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable, SCIENCE / Energy, TECHNOLOGY & ENGINEERING / Environmental / General
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3119848
RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: Applications of Nature-Inspired Computing in Renewable Energy Systems
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  Data: Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems 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. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.
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  Data: <searchLink fieldCode="AR" term="%22Mohamed+Arezki+Mellal%22">Mohamed Arezki Mellal</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 621.042
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Renewable energy sources--Data processing
        Type: general
      – SubjectFull: Natural computation--Industrial applications
        Type: general
    Titles:
      – TitleFull: Applications of Nature-Inspired Computing in Renewable Energy Systems
        Type: main
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          Name:
            NameFull: Mohamed Arezki Mellal
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            NameFull: Mohamed Arezki Mellal
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 13
              M: 12
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781799885610
            – Type: isbn-electronic
              Value: 9781799885634
            – Type: isbn-electronic
              Value: 9781799885641
          Titles:
            – TitleFull: Applications of Nature-Inspired Computing in Renewable Energy Systems
              Type: main
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