© 2018

Energy Management—Collective and Computational Intelligence with Theory and Applications

  • Cengiz Kahraman
  • Gülgün Kayakutlu
  • Presents cases and examples of collective and computational intelligence applications in the energy industry

  • Includes collective and computational intelligence techniques such as ant colony optimization, swarm optimization, simulated annealing, genetic algorithms, neural networks, and fuzzy sets

  • Offers essential insights for the investigation and projection of energy plans and schedules using the most recent analytical methods from collective and computational intelligence


Part of the Studies in Systems, Decision and Control book series (SSDC, volume 149)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Gülgün Kayakutlu
      Pages 3-13
    3. Cengiz Kahraman, Başar Oztaysi, Sezi Çevik Onar, Sultan Ceren Öner
      Pages 15-37
  3. Forecasting

    1. Front Matter
      Pages 39-39
    2. Joao Lavoie, Husam Barham, Apeksha Gupta, Tania Lilja, Tin Nguyen, Jisun Kim et al.
      Pages 41-64
    3. Basar Oztaysi, Sezi Çevik Onar, Eda Bolturk, Cengiz Kahraman
      Pages 65-81
    4. Timur Yunusov, Georgios Giasemidis, Stephen Haben
      Pages 83-107
  4. Economic Analysis

    1. Front Matter
      Pages 109-109
    2. Georgios C. Christoforidis, Ioannis P. Panapakidis
      Pages 111-130
    3. Cagri Ozturk, Irem Duzdar Argun, M. Özgür Kayalica
      Pages 131-140
    4. Cengiz Kahraman, Sezi Çevik Onar, Başar Öztayşi, İrem Uçal Sarı, Esra İlbahar
      Pages 141-166
  5. Strategic Analysis

    1. Front Matter
      Pages 193-193
    2. Gülçin Büyüközkan, Yağmur Karabulut, Merve Güler
      Pages 229-250
    3. Antonios Fragkogios, Georgios K. D. Saharidis
      Pages 251-275
  6. Operational Analysis

    1. Front Matter
      Pages 315-315
    2. Eduardo Valentin, Rosiane de Freitas, Raimundo Barreto
      Pages 317-333

About this book


This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance analysis to economic analysis, and from strategic analysis to operational analysis, with didactic numerical examples. As a form of intelligence emerging from the collaboration and competition of individuals, collective and computational intelligence addresses new methodological, theoretical, and practical aspects of complex energy management problems. The book offers an excellent reference guide for practitioners, researchers, lecturers and postgraduate students pursuing research on intelligence in energy management. The contributing authors are recognized researchers in the energy research field.


Collective Intelligence for Energy Computational Intelligence for Energy Energy Planning Energy Forecasting Renewable Energy Analytics

Editors and affiliations

  • Cengiz Kahraman
    • 1
  • Gülgün Kayakutlu
    • 2
  1. 1.Department of Industrial EngineeringIstanbul Technical UniversityIstanbulTurkey
  2. 2.Energy InstituteIstanbul Technical UniversityIstanbulTurkey

Bibliographic information

  • Book Title Energy Management—Collective and Computational Intelligence with Theory and Applications
  • Editors Cengiz Kahraman
    Gülgün Kayakutlu
  • Series Title Studies in Systems, Decision and Control
  • Series Abbreviated Title Studies in Systems, Decision and Control
  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-75689-9
  • Softcover ISBN 978-3-030-09299-3
  • eBook ISBN 978-3-319-75690-5
  • Series ISSN 2198-4182
  • Series E-ISSN 2198-4190
  • Edition Number 1
  • Number of Pages XV, 554
  • Number of Illustrations 52 b/w illustrations, 69 illustrations in colour
  • Topics Computational Intelligence
    Energy Policy, Economics and Management
    Energy Policy, Economics and Management
  • Buy this book on publisher's site
Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences