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Energy Management—Collective and Computational Intelligence with Theory and Applications

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Cover of 'Energy Management—Collective and Computational Intelligence with Theory and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Complexity in Energy Systems
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    Chapter 2 Fuzzy Sets Applications in Complex Energy Systems: A Literature Review
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    Chapter 3 Forecasting Super-Efficient Dryers Adoption in the Pacific Northwest
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    Chapter 4 Fuzzy Forecasting Methods for Energy Planning
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    Chapter 5 Smart Storage Scheduling and Forecasting for Peak Reduction on Low-Voltage Feeders
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    Chapter 6 Modeling and Economic Evaluation of PV Net-Metering and Self-consumption Schemes
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    Chapter 7 Life Long Economic Analysis for Industrial Microgrids: A Case Study in Turkey
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    Chapter 8 Wind Energy Investment Analyses Based on Fuzzy Sets
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    Chapter 9 Assessment of Fuel Tax Policies to Tackle Carbon Emissions from Road Transport—An Application of the Value-Based DEA Method Including Robustness Analysis
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    Chapter 10 Strategic Analysis of Solar Energy Pricing Process with Hesitant Fuzzy Cognitive Map
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    Chapter 11 Strategic Renewable Energy Source Selection for Turkey with Hesitant Fuzzy MCDM Method
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    Chapter 12 Modeling and Solution Approaches for Crude Oil Scheduling in a Refinery
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    Chapter 13 Fuzzy MCDM Methods in Sustainable and Renewable Energy Alternative Selection: Fuzzy VIKOR and Fuzzy TODIM
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    Chapter 14 Designing Distributed Real-Time Systems to Process Complex Control Workload in the Energy Industry
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    Chapter 15 Operational Planning in Energy Systems: A Literature Review
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    Chapter 16 Electrical Vehicle Charging Coordination Algorithms Framework
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    Chapter 17 Multi-Site Energy Use Management in the Absence of Smart Grids
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    Chapter 18 A Systematic Approach to the Analysis of Barriers and Drivers of the ESCO Market in Turkey
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    Chapter 19 Fuzzy Sets Based Performance Evaluation of Alternative Wind Energy Systems
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    Chapter 20 Sustainability Performance Evaluation of Energy Generation Projects
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    Chapter 21 Review of Collective Intelligence Used in Energy Applications
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    Chapter 22 Fuzzy Collective Intelligence for Performance Measurement in Energy Systems
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    Chapter 23 A Framework for the Performance Evaluation of an Energy Blockchain
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    Chapter 24 Energy Future: Innovation Based on Time, Synergy and Innovation Factors
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Energy Management—Collective and Computational Intelligence with Theory and Applications
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-75690-5
978-3-31-975689-9, 978-3-31-975690-5

Cengiz Kahraman, Gülgün Kayakutlu

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Student > Ph. D. Student 6 26%
Student > Master 3 13%
Other 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 6 26%
Readers by discipline Count As %
Engineering 3 13%
Computer Science 3 13%
Mathematics 3 13%
Business, Management and Accounting 1 4%
Environmental Science 1 4%
Other 4 17%
Unknown 8 35%