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Energy Management—Collective and Computational Intelligence with Theory and Applications

  • Book
  • © 2018

Overview

Editors:
  1. Cengiz Kahraman

    1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  2. Gülgün Kayakutlu

    1. Energy Institute, Istanbul Technical University, Istanbul, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  • 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 book series: Studies in Systems, Decision and Control (SSDC, volume 149)

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Table of contents (24 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Complexity in Energy Systems

      • Gülgün Kayakutlu
      Pages 3-13

    3. Fuzzy Sets Applications in Complex Energy Systems: A Literature Review

      • Cengiz Kahraman, Başar Oztaysi, Sezi Çevik Onar, Sultan Ceren Öner
      Pages 15-37

  3. Forecasting

    1. Front Matter

      Pages 39-39
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    2. Forecasting Super-Efficient Dryers Adoption in the Pacific Northwest

      • Joao Lavoie, Husam Barham, Apeksha Gupta, Tania Lilja, Tin Nguyen, Jisun Kim et al.
      Pages 41-64

    3. Fuzzy Forecasting Methods for Energy Planning

      • Basar Oztaysi, Sezi Çevik Onar, Eda Bolturk, Cengiz Kahraman
      Pages 65-81

    4. Smart Storage Scheduling and Forecasting for Peak Reduction on Low-Voltage Feeders

      • Timur Yunusov, Georgios Giasemidis, Stephen Haben
      Pages 83-107

  4. Economic Analysis

    1. Front Matter

      Pages 109-109
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    2. Modeling and Economic Evaluation of PV Net-Metering and Self-consumption Schemes

      • Georgios C. Christoforidis, Ioannis P. Panapakidis
      Pages 111-130

    3. Life Long Economic Analysis for Industrial Microgrids: A Case Study in Turkey

      • Cagri Ozturk, Irem Duzdar Argun, M. Özgür Kayalica
      Pages 131-140

    4. Wind Energy Investment Analyses Based on Fuzzy Sets

      • Cengiz Kahraman, Sezi Çevik Onar, Başar Öztayşi, İrem Uçal Sarı, Esra İlbahar
      Pages 141-166

    5. Assessment of Fuel Tax Policies to Tackle Carbon Emissions from Road Transport—An Application of the Value-Based DEA Method Including Robustness Analysis

      • Maria do Castelo Gouveia, Isabel Clímaco
      Pages 167-191

  5. Strategic Analysis

    1. Front Matter

      Pages 193-193
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    2. Strategic Analysis of Solar Energy Pricing Process with Hesitant Fuzzy Cognitive Map

      • Veysel Çoban, Sezi Çevik Onar
      Pages 195-227

    3. Strategic Renewable Energy Source Selection for Turkey with Hesitant Fuzzy MCDM Method

      • Gülçin Büyüközkan, Yağmur Karabulut, Merve Güler
      Pages 229-250

    4. Modeling and Solution Approaches for Crude Oil Scheduling in a Refinery

      • Antonios Fragkogios, Georgios K. D. Saharidis
      Pages 251-275

    5. Fuzzy MCDM Methods in Sustainable and Renewable Energy Alternative Selection: Fuzzy VIKOR and Fuzzy TODIM

      • Zeynep Kezban Turgut, Abdullah Çağrı Tolga
      Pages 277-314

  6. Operational Analysis

    1. Front Matter

      Pages 315-315
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    2. Designing Distributed Real-Time Systems to Process Complex Control Workload in the Energy Industry

      • Eduardo Valentin, Rosiane de Freitas, Raimundo Barreto
      Pages 317-333
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Keywords

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.

Editors and Affiliations

  • Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  • Energy Institute, Istanbul Technical University, Istanbul, Turkey

    Gülgün Kayakutlu

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

  • DOI: https://doi.org/10.1007/978-3-319-75690-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

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

  • Hardcover ISBN: 978-3-319-75689-9Published: 04 April 2018

  • Softcover ISBN: 978-3-030-09299-3Published: 14 December 2018

  • eBook ISBN: 978-3-319-75690-5Published: 21 March 2018

  • 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

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