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Energy management -- collective and computational intelligence with theory and applications

Author: Cengiz Kahraman; Gülgün Kayakutlu
Publisher: Cham, Switzerland : Springer, 2018.
Series: Studies in systems, decision and control, v. 149.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Cengiz Kahraman; Gülgün Kayakutlu
ISBN: 9783319756905 3319756907
OCLC Number: 1029352338
Description: 1 online resource.
Contents: Intro; Preface; Contents; About the Editors; Introduction; 1 Complexity in Energy Systems; Abstract; 1.1 Introduction; 1.2 Complexity Concepts; 1.3 Complexity in the Energy Markets; 1.3.1 Energy Resources; 1.3.2 Energy Distribution; 1.3.3 Socio-ecological approaches; 1.4 Response to Complexity: Computational and Collective Intelligence; 1.5 Conclusion; References; 2 Fuzzy Sets Applications in Complex Energy Systems: A Literature Review; Abstract; 2.1 Introduction; 2.2 Fuzzy Sets Theory; 2.2.1 Ordinary Fuzzy Sets and Their Extensions; 2.2.2 Interval-Valued Fuzzy Sets; 2.2.3 Type-n Fuzzy Sets 2.2.4 Intuitionistic Fuzzy Sets2.2.5 Fuzzy Multisets; 2.2.6 Nonstationary Fuzzy Sets; 2.2.7 Hesitant Fuzzy Sets; 2.2.8 Neutrosophic Theory; 2.2.9 Pythagorean Fuzzy Sets-Type 2 Intuitionistic Fuzzy Sets; 2.3 Complex Energy Systems; 2.4 Literature Review: Complex Energy Systems and Fuzzy Sets Applications; 2.4.1 Bioenergy and Fuzzy Sets; 2.4.2 Wave Energy and Fuzzy Sets; 2.4.3 Photovoltaic Systems and Fuzzy Sets; 2.4.4 Hydrogen Energy and Fuzzy Sets; 2.4.5 Nuclear Energy and Fuzzy Sets; 2.4.6 Wind-Thermal Energy and Fuzzy Sets; 2.5 Conclusion; References; Forecasting 3 Forecasting Super-Efficient Dryers Adoption in the Pacific NorthwestAbstract; 3.1 Introduction; 3.2 Literature Review; 3.2.1 Technology Forecasting; 3.2.2 Energy Efficiency; 3.2.3 Super Efficient Dryers; 3.2.3.1 Super Efficient Dryer Initiative (SEDI); 3.2.4 Other Emerging Types of Dryers; 3.2.4.1 Microwave Dryers; 3.2.4.2 Solar Clothes Dryer; 3.2.5 NEEA; 3.2.5.1 Midstream and Upstream Incentives; 3.2.5.2 Downstream Incentives; 3.3 Methodology; 3.4 Analysis; 3.5 Conclusions and Recommendations; 3.5.1 For NEEA; 3.5.2 General; 3.6 Future Work; References 4 Fuzzy Forecasting Methods for Energy PlanningAbstract; 4.1 Introduction; 4.2 Literature Review; 4.3 Fuzzy Forecasting Methods; 4.3.1 Fuzzy Time Series; 4.3.2 Fuzzy Regression; 4.3.3 Fuzzy Inference Systems; 4.3.4 ANFIS; 4.3.5 Hwang, Chen, Lee's Fuzzy Time Series Method; 4.4 A Numerical Application; 4.5 Conclusion; Acknowledgements; References; 5 Smart Storage Scheduling and Forecasting for Peak Reduction on Low-Voltage Feeders; Abstract; 5.1 Introduction; 5.2 Forecasting Methods; 5.2.1 Data; 5.2.2 Methods; 5.2.2.1 A Simple Seasonal Method; 5.2.2.2 Random Forest Regression 5.2.2.3 Support Vector Regression5.2.2.4 Benchmark Methods; 5.2.3 Analysis of Forecasts; 5.2.4 Discussion; 5.3 Application of Forecasts in Energy Storage Control; 5.3.1 Set-Point Control; 5.3.2 Fixed Day-Ahead Schedule; 5.3.3 Model Predictive Control; 5.3.4 Results; 5.3.5 Discussion; Acknowledgements; References; Economic Analysis; 6 Modeling and Economic Evaluation of PV Net-Metering and Self-consumption Schemes; Abstract; 6.1 Introduction; 6.2 Machine Learning Application; 6.2.1 PV Data Modeling; 6.2.2 PV Generation Profiles Per Installation; 6.2.3 PV Generation Profiles Per Cluster
Series Title: Studies in systems, decision and control, v. 149.
Responsibility: Cengiz Kahraman, Gülgün Kayakutlu, editors.

Abstract:

This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance  Read more...

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