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© 2018

Artificial Intelligence in Renewable Energetic Systems

Smart Sustainable Energy Systems

  • Mustapha Hatti

Benefits

  • 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 ICAIRES 2017

Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 35)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Smart Home in Smart Cities

    1. Front Matter
      Pages 1-1
    2. El-Hadi Khoumeri, Rabea Cheggou, Kamila Farhah
      Pages 25-33
    3. Tahar Dahoumane, Mourad Haddadi
      Pages 34-42
    4. Rabea Cheggou, El-Hadi Khoumeri, Kamila Ferhah
      Pages 50-58
    5. Amar Ben Makhloufi, Mustapha Hatti, Taleb Rachid
      Pages 77-84
  3. Renewable Resources

    1. Front Matter
      Pages 85-85
    2. Kada Becharef, Keltoum Nouri, Boubakar Seddik Bouazza, Mahdi Damou, Tayeb Habib Chawki Bouazza
      Pages 87-98
    3. Djamel Eddine Tourqui, Meryem Benakcha, Tayeb Allaoui
      Pages 121-132
    4. Sabir Ouchen, Achour Betka, Jean Paul Gaubert, Sabrina Abdeddaim, Farida Mazouz
      Pages 164-172

About these proceedings

Introduction

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.

Keywords

Artificial Intelligence Renewable Energy Energetic Efficiency Neural Network Fuzzy Logic Photovoltaic Wind Fuel Cells Smart Cities Smart Home Smart Grid Quality of Life

Editors and affiliations

  • Mustapha Hatti
    • 1
  1. 1.EPST-CDERUDES, Unité de Développement des Equipements SolairesBou IsmaïlAlgeria

About the editors

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
  • Series Abbreviated Title Lect. Notes in Networks, Syst.
  • DOI https://doi.org/10.1007/978-3-319-73192-6
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Softcover ISBN 978-3-319-73191-9
  • eBook ISBN 978-3-319-73192-6
  • Series ISSN 2367-3370
  • Series E-ISSN 2367-3389
  • Edition Number 1
  • Number of Pages XII, 531
  • Number of Illustrations 420 b/w illustrations, 0 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
    Renewable and Green Energy
  • Buy this book on publisher's site
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