Energy management -- collective and computational intelligence with theory and applications. (2018)

• Record Type: Book
• Further Information: Note: Cengiz Kahraman, Gülgün Kayakutlu, editors.
• Editors: Kahraman, Cengiz; Kayakutlu, Gülgün
• 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
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 621.042; Engineering; Energy conservation -- Mathematical models; Energy conservation -- Data processing; Energy conservation -- Management; Artificial intelligence; TECHNOLOGY & ENGINEERING -- Mechanical; Artificial intelligence; Energy conservation -- Data processing; Energy conservation -- Management; Energy conservation -- Mathematical models; Business & Economics -- Industries -- Energy Industries; Power generation & distribution; Energy technology & engineering; Engineering economy; Computers -- Intelligence (AI) & Semantics; Artificial intelligence; Electronic books
• Languages: English
• ISBNs: 9783319756905; 3319756907
• Related ISBNs: 9783319756899; 3319756893
• Notes: Note: Online resource; title from PDF title page (EBSCO, viewed March 28, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.