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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
Attention for Chapter 4: Fuzzy Forecasting Methods for Energy Planning
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Citations

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6 Mendeley
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Chapter title
Fuzzy Forecasting Methods for Energy Planning
Chapter number 4
Book title
Energy Management—Collective and Computational Intelligence with Theory and Applications
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-75690-5_4
Book ISBNs
978-3-31-975689-9, 978-3-31-975690-5
Authors

Basar Oztaysi, Sezi Çevik Onar, Eda Bolturk, Cengiz Kahraman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Professor > Associate Professor 1 17%
Researcher 1 17%
Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Computer Science 1 17%
Mathematics 1 17%
Unknown 2 33%