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  • Conference proceedings
  • © 2018

Artificial Intelligence in Renewable Energetic Systems

Smart Sustainable Energy Systems

Editors:

  • Includes recent research on artificial intelligence in renewable energetic Systems
  • Features the proceedings of the International Conference in Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017
  • Written by experts in the field

Conference proceedings info: ICAIRES 2017.

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Table of contents (55 papers)

  1. Front Matter

    Pages i-xii
  2. Smart Home in Smart Cities

    1. Front Matter

      Pages 1-1
    2. IoT-Safety and Security System in Smart Cities

      • El-Hadi Khoumeri, Rabea Cheggou, Kamila Farhah
      Pages 25-33
    3. Smart Home Control System Based on Raspberry Pi and ZigBee

      • Tahar Dahoumane, Mourad Haddadi
      Pages 34-42
    4. Energy-Saving Through Smart Home Concept

      • Rabea Cheggou, El-Hadi Khoumeri, Kamila Ferhah
      Pages 50-58
    5. Smart Power Management Hybrid System PV-Fuel Cell

      • Amar Ben Makhloufi, Mustapha Hatti, Taleb Rachid
      Pages 77-84
  3. Renewable Resources

    1. Front Matter

      Pages 85-85
    2. Design of Array CSRRs Band-Stop Filter

      • Kada Becharef, Keltoum Nouri, Boubakar Seddik Bouazza, Mahdi Damou, Tayeb Habib Chawki Bouazza
      Pages 87-98
    3. Improving the Electrical Stability by Wind Turbine and UPFC

      • Djamel Eddine Tourqui, Meryem Benakcha, Tayeb Allaoui
      Pages 121-132
    4. Fuzzy-Direct Power Control of a Grid Connected Photovoltaic System Associate with Shunt Active Power Filter

      • Sabir Ouchen, Achour Betka, Jean Paul Gaubert, Sabrina Abdeddaim, Farida Mazouz
      Pages 164-172

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  1. Artificial Intelligence in Renewable Energetic Systems

About this book

This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.

Editors and Affiliations

  • EPST-CDER, UDES, Unité de Développement des Equipements Solaires, Bou Ismaïl, Algeria

    Mustapha Hatti

About the editor

Dr. Mustapha Hatti was born in El-Asnam (Chlef), Algeria. He was educated at El Khaldounia school, then at El Wancharissi high school, and obtained his Electronics Engineering Diploma at USTHB (University of Science and Technology Houari Boumediene), Algiers. He completed his postgraduate studies at USTO, Oran, Algeria. He has worked at CDSE, Ain oussera, Djelfa, at CRD, Sonatrach, Hassi Messaoud, at CRNB, Birine, Djelfa, and at UDES/EPST-CDER, Bou Ismail, Tipasa, Algeria. He is an IEEE senior member, and the author of several scientific papers. As a senior researcher his areas of interest include sustainable energy systems and innovative, fuel cell, photovoltaic, optimization and intelligent embedded systems.

Bibliographic Information

  • Book Title: Artificial Intelligence in Renewable Energetic Systems

  • Book Subtitle: Smart Sustainable Energy Systems

  • Editors: Mustapha Hatti

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-319-73192-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Softcover ISBN: 978-3-319-73191-9Published: 13 March 2018

  • eBook ISBN: 978-3-319-73192-6Published: 12 March 2018

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XII, 531

  • Number of Illustrations: 420 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Renewable and Green Energy

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access