Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration [[electronic resource] ] : International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Nanjing, China, September 22-24, 2017, Proceedings, Part III / / edited by Kang Li, Yusheng Xue, Shumei Cui, Qun Niu, Zhile Yang, Patrick Luk |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XX, 815 p. 407 illus.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer simulation
Artificial intelligence Special purpose computers Big data Simulation and Modeling Artificial Intelligence Special Purpose and Application-Based Systems Big Data |
ISBN | 981-10-6364-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Biomedical Signal Processing -- Computational Methods in Organism Modeling -- Medical Apparatus and Clinical Applications -- Bionics Control Methods, Algorithms and Apparatus -- Modeling and Simulation of Life Systems -- Data Driven Analysis -- Image and Video Processing -- Advanced Fuzzy and Neural Network Theory and Algorithms -- Advanced Evolutionary Methods and Applications -- Advanced Machine Learning Methods and Applications -- Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems -- Advanced Methods for Networked Systems -- Control and Analysis of Transportation Systems -- Advanced Sliding Mode Control and Applications -- Advanced Analysis of New Materials and Devices -- Computational Intelligence in Utilization of Clean and Renewable Energy Resources -- Intelligent Methods for Energy Saving and Pollution Reduction -- Intelligent Methods in Developing Electric Vehicles, Engines and Equipment -- Intelligent Computing and Control in Power Systems -- Modeling, Simulation and Control in Smart Grid and Microgrid -- Optimization Methods; Computational Methods for Sustainable Environment. |
Record Nr. | UNINA-9910254837203321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Advances in Green Energy Systems and Smart Grid [[electronic resource] ] : First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part III / / edited by Kang Li, Jianhua Zhang, Minyou Chen, Zhile Yang, Qun Niu |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XIX, 329 p. 166 illus.) |
Disciplina | 621.042 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Special purpose computers
Artificial intelligence Computer communication systems Algorithms Special Purpose and Application-Based Systems Artificial Intelligence Computer Communication Networks Algorithm Analysis and Problem Complexity |
ISBN |
978-981-13-2381-2
981-13-2381-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Clean energy -- Electric vehicles -- Energy saving -- Energy storages -- power system analysis. |
Record Nr. | UNINA-9910299307703321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing and Internet of Things [[electronic resource] ] : First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part II / / edited by Kang Li, Minrui Fei, Dajun Du, Zhile Yang, Dongsheng Yang |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XXI, 569 p. 297 illus.) |
Disciplina | 670.28563 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Special purpose computers
Artificial intelligence Computer communication systems Algorithms Special Purpose and Application-Based Systems Artificial Intelligence Computer Communication Networks Algorithm Analysis and Problem Complexity |
ISBN |
978-981-13-2384-3
981-13-2384-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Advanced evolutionary computing theory and algorithms -- Big data analytics -- Fault diagnosis and maintenance -- Intelligent computing in robotics -- Intelligent control and automation -- IoT systems -- Neural networks and deep learning -- Precision measurement and instrumentation -- Image processing. |
Record Nr. | UNINA-9910299314303321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing for Sustainable Energy and Environment : Second International Conference, ICSEE 2012, Shanghai, China, September 12-13, 2012. Revised Selected Papers / / edited by Kang Li, Shaoyuan Li, Dewei Li, Qun Niu |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XIV, 560 p. 313 illus.) |
Disciplina | 004 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Application software
Data mining Algorithms Numerical analysis Artificial intelligence Pattern recognition Computer Applications Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity Numeric Computing Artificial Intelligence Pattern Recognition |
ISBN | 3-642-37105-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Study on Controlling Power Quality Based on Thermodynamics Modeling Method for 6.3kV Power System -- Recursive Model Predictive Control for Fast Varying Dynamic Systems -- Distributed Optimization and State Based Ordinal Potential Games -- Assessment of Texaco Syngas Components Using Extreme Learning Machine Based Quantum Neural Network -- Stochastic Gradient Algorithm for Hammerstein Systems with Piece-Wise Linearities -- Optimization of Train Energy-Efficient Operation Using Simulated Annealing Algorithm -- Artificial Cobweb Intelligent Routing Algorithm for Low-Voltage Power Line Communication -- Material Identification of Particles in Space-Borne Electronic Equipments Based on Principal Component Analysis -- Research and Application of Multiple Model Predictive Control in Ultra-supercritical Boiler-Turbine System -- A Decision Support Framework for Collision Avoidance of Unmanned Maritime Vehicles. |
Record Nr. | UNINA-9910741144403321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing in Smart Grid and Electrical Vehicles [[electronic resource] ] : International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Shanghai, China, September 2014, Proceedings, Part Ⅲ / / edited by Kang Li, Yusheng Xue, Shumei Cui, Niu Qun |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (XVI, 556 p. 324 illus.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer simulation
Renewable energy resources Energy policy Energy and state Energy systems Simulation and Modeling Renewable and Green Energy Energy Policy, Economics and Management Energy Systems |
ISBN | 3-662-45286-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Computational intelligence in utilization of clean and renewable energy resources, including fuel cell, hydrogen, solar and winder power, marine and biomass -- Intelligent modeling, control and supervision for energy saving and pollution reduction -- Intelligent methods in developing electric vehicles, engines and equipment -- Intelligent computing and control in distributed power generation systems -- Intelligent modeling, simulation and control of power electronics and power networks -- Intelligent road management and electricity marketing strategies -- Intelligent water treatment and waste management technologies -- Integration of electric vehicles with smart grid. |
Record Nr. | UNINA-9910298967203321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Life System Modeling and Intelligent Computing [[electronic resource] ] : International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010. Proceedings / / edited by Kang Li, Li Jia, Xin Sun, Minrui Fei, George W. Irwin |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XVIII, 719 p. 305 illus.) |
Disciplina | 570.285 |
Collana | Lecture Notes in Bioinformatics |
Soggetto topico |
Bioinformatics
Life sciences Computers Algorithms Pattern recognition Computational Biology/Bioinformatics Life Sciences, general Theory of Computation Computation by Abstract Devices Algorithm Analysis and Problem Complexity Pattern Recognition |
ISBN |
1-280-38880-3
9786613566720 3-642-15615-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The First Section: Biomedical Signal Processing, Speech, Imaging and Visualization -- The Second Section: Biological and Biomedical Data Integration, Mining and Visualization -- The Third Section: Computational Intelligence in Bioinformatics and Biometrics -- The Fourth Section: Computational Methods and Intelligence in Modeling Molecular, Cellular and Multi-cellular behavior and Dynamics -- The Fifth Section: Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems -- The Sixth Section: Intelligent Medical Apparatus and Clinical Applications -- The Seventh Section: Modeling and Simulation of Societies and Collective Behavior -- The Eighth Section: Brain Stimulation, Neural Dynamics and Neural Interfacing -- The Ninth Section: Intelligent Construction and Energy Saving Techniques for Sustainable and Green Built Environment -- The Tenth Section: Intelligent Water Treatment and Waste Management Technologies. |
Record Nr. | UNISA-996465943003316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Life System Modeling and Intelligent Computing : International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010. Proceedings / / edited by Kang Li, Li Jia, Xin Sun, Minrui Fei, George W. Irwin |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XVIII, 719 p. 305 illus.) |
Disciplina | 570.285 |
Collana | Lecture Notes in Bioinformatics |
Soggetto topico |
Bioinformatics
Life sciences Computers Algorithms Pattern recognition Computational Biology/Bioinformatics Life Sciences, general Theory of Computation Computation by Abstract Devices Algorithm Analysis and Problem Complexity Pattern Recognition |
ISBN |
1-280-38880-3
9786613566720 3-642-15615-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The First Section: Biomedical Signal Processing, Speech, Imaging and Visualization -- The Second Section: Biological and Biomedical Data Integration, Mining and Visualization -- The Third Section: Computational Intelligence in Bioinformatics and Biometrics -- The Fourth Section: Computational Methods and Intelligence in Modeling Molecular, Cellular and Multi-cellular behavior and Dynamics -- The Fifth Section: Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems -- The Sixth Section: Intelligent Medical Apparatus and Clinical Applications -- The Seventh Section: Modeling and Simulation of Societies and Collective Behavior -- The Eighth Section: Brain Stimulation, Neural Dynamics and Neural Interfacing -- The Ninth Section: Intelligent Construction and Energy Saving Techniques for Sustainable and Green Built Environment -- The Tenth Section: Intelligent Water Treatment and Waste Management Technologies. |
Record Nr. | UNINA-9910484787103321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 21st International Workshop on Network and Operating Systems Support for Digital Audio and Video |
Autore | Krasic Charles 'Buck' |
Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2011 |
Descrizione fisica | 1 online resource (130 pages) |
Collana | ACM Conferences |
Soggetto topico |
Electrical & Computer Engineering
Engineering & Applied Sciences Electrical Engineering |
ISBN | 1-4503-0777-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | NOSSDAV '11 the 21st International Workshop on Network and Operating Systems Support for Digital Audio and Video, Vancouver, BC, Canada - June 01 - 03, 2011 |
Record Nr. | UNINA-9910376515303321 |
Krasic Charles 'Buck' | ||
[Place of publication not identified], : ACM, 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Recent advances in sustainable energy and intelligent systems : 7th international conference on life system modeling and simulation, LSMS 2021 and 7th international conference on intelligent computing for sustainable energy and environment, ICSEE 2021, Hangzhou, China, October 30 - November 1, 2021, proceedings, part II / / Kang Li [and five others], editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (569 pages) |
Disciplina | 003.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer simulation
Computer networks Computer architecture |
ISBN | 981-16-7210-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Power and Energy Systems -- Coordinative Voltage Control of Building in Supporting Electric Vehicle Integration in Distribution Networks -- 1 Introduction -- 2 Potential of HPs in Supporting EV Integration -- 2.1 Load Profile -- 2.2 EV and HP Coordination Within One House -- 2.3 EV and HP Loads Within Multiple Houses -- 3 Impacts on the Electricity Distribution Network -- 3.1 Scenario 1 - EVs and HPs at Every House Without Coordination -- 3.2 Scenario 2 - EVs and HPs with Coordination Within a Single House -- 3.3 Scenario 3 - EVs and HPs at Every House with Coordination of Multiple House on the Network -- 4 Conclusion -- References -- Intellectualizing Network Distribution: A Case in the Ruyi New District in Hohhot -- 1 Introduction -- 2 Results and Discuss -- 2.1 The Intellectualizing Upgradation of the Present Distribution Network -- 2.2 Construction of the Intelligent Distribution Network -- 3 Conclusion -- References -- Classifications of Lithium-Ion Battery Electrode Property Based on Support Vector Machine with Various Kernels -- 1 Introduction -- 2 Key Steps in Battery Electrode Manufacturing -- 3 Technology -- 3.1 Support Vector Machine Classification -- 3.2 Performance Indicators -- 4 Result and Discussion -- 5 Conclusions -- References -- Robot Platform for Live Working in Distribution Network -- 1 Introduction -- 2 Robot Platform Design -- 2.1 Mobile Chassis -- 2.2 Upper Installation System -- 2.3 Control System -- 3 Finite Element Analysis -- 4 Experiments -- 4.1 Mechanical Performance Test of Insulating Arm -- 4.2 Electrical Performance Test -- 4.3 Application Test -- 5 Conclusion -- References -- A Novel Optimization Algorithm for Solving Parameters Identification of Battery Model -- 1 Introduction -- 2 Model and Problem Approach -- 2.1 Battery Energy Store Model.
2.2 Relation Curve Between OCV and SOC -- 2.3 Objective Function -- 3 Improved JAYA Algorithm -- 3.1 Self-adaptive Weight -- 3.2 Experience-Based Learning Strategy -- 3.3 Chaotic Elite Learning Method -- 4 Results and Analysis -- 5 Conclusions -- References -- Steady-State Modeling and Power Flow Calculation of Integrated Electric-Gas Coupling Energy System Based on Energy Circuit Theory -- 1 Introduction -- 2 Integrated Energy System Modeling Based on the Energy Circuit Theory of Electric-Gas Coupling -- 2.1 Unified Energy Approach Methodology -- 2.2 Mathematical Model of Electrical Interrotation Based on Unified Energy Circuit Theory -- 2.3 Steady-State Model of Gas Path -- 2.4 Power Grid Model -- 3 PSO-Newton Power Flow Calculation Method -- 4 Analysis of Calculation Examples -- 5 Conclusion -- References -- Study on the Prediction of Indoor Temperature and Thermal Load on Different Floors in a Community -- 1 Introduction -- 2 Typical User Analysis of the Community -- 3 Methods -- 3.1 Correlation Analysis of Input Variables -- 3.2 Methods -- 4 Analysis of Results and Discussion -- 4.1 Thermal Demand -- 4.2 TA-1,TA-2,TA-6Predictive Analysis -- 4.3 TLPrediction -- 5 Conclusion -- References -- Multi-objective Optimization of Electric Vehicle and Unit Commitment Considering Users Satisfaction: An Improved MOEA/D Algorithm -- 1 Introduction -- 2 Problem Model -- 2.1 The Objective Function -- 2.2 Limitations of the Model -- 3 Improvement of MOEA/D Algorithm -- 3.1 Limitations of the Model -- 3.2 Improvement of Solution Update Mode -- 3.3 Selection of the Optimal Value -- 3.4 Algorithm Steps -- 4 Experimental Results and Analysis -- 4.1 Parameter Description -- 4.2 The Experimental Results Show -- 5 Conclusion -- References -- Modeling of Supercritical Once-Through Boiler-Turbine Units Based on Improved Sine and Cosine Algorithm -- 1 Introduction. 2 Model Description -- 2.1 The Pulverizing System -- 2.2 The Boiler and Attemperator Section -- 2.3 The Turbine Section -- 3 Improved Sine and Cosine Algorithm -- 4 Parameter Identification and Simulation -- 4.1 Unknown Function -- 4.2 Illustrative Example -- 5 Conclusion -- References -- Energy Storage Capacity Optimization for Deviation Compensation in Dispatching Grid-Connected Wind Power -- 1 Introduction -- 2 The Impact of Scheduling Deviation Distribution Characteristics on Energy Storage Capacity Allocation -- 2.1 Error Distribution Analysis -- 2.2 The Energy Storage Capacity Demand for Deviation Compensation -- 3 Optimal Energy Storage Capacity Allocation Considering Load Variation and Operating Costs in Power System Dispatch -- 3.1 Scheduling Optimization Considering Load Variations -- 3.2 Scheduling Optimizing Considering Operating Costs -- 4 A Case Study -- 5 Discussions and Conclusions -- 6 Patents -- References -- An H-ELM Based Equivalent Droop Control for Hybrid Power Systems -- 1 Introduction -- 2 Droop Control of PV Power Plant and BESS -- 2.1 Droop Control of BESS -- 2.2 Droop Control of PV -- 3 Equivalent Droop Control of Hybrid Power System -- 3.1 H-ELM -- 3.2 ELM Neural Network -- 3.3 ELM Sparse Autoencoder -- 3.4 Training Data of H-ELM -- 4 Simulation Results -- 5 Conclusion -- References -- Energy-Efficient Operation Curve Optimization for High-Speed Train Based on GSO Algorithm -- 1 Introduction -- 2 Analysis of Energy-Saving Operation and Its Control Impact Based on ATO -- 2.1 Analysis of High-Speed Train Operation Process -- 2.2 Analysis of High-Speed Train Operation Manipulation Strategy -- 3 Energy-Efficient Operation System Method and Basic Control Strategy -- 3.1 Performance Indicators for Operating Curve Optimization -- 3.2 Analysis of Train Operation Curve Optimization Process. 4 Solution Methodology Based on GSO Algorithm -- 5 Simulation and Verification -- 6 Conclusion and Summary -- References -- Research on Punctual and Energy-Efficient Train Driving Strategy Based on Two-Stage Allocation of Redundant Running Time -- 1 Introduction -- 2 Energy-Efficient Train Control Problem -- 2.1 The Train Dynamics -- 2.2 Train Driving Regimes -- 2.3 Train Energy Consumption Modelling -- 2.4 Mathematical Model of Energy-Efficient Train Control -- 3 Two-Stage Allocation of Redundant Running Time -- 3.1 Time-Optimal Speed Profile -- 3.2 Energy-Efficient Sequence of Driving Regimes -- 3.3 Two-Stage Allocation of Redundant Running Time -- 3.4 Relationship Between Allocated Redundant Running Time and Saved Energy -- 4 Case Study -- 4.1 Data of Train and Line -- 4.2 Time-Optimal Speed Profile -- 4.3 First-Stage Optimized Speed Profile -- 4.4 Second-Stage Optimized Speed Profile -- 5 Conclusion -- References -- Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction -- Optimization Design of Flexible Solar Cell Interconnect Based on Submodel Method -- 1 Introduction -- 2 Research Object and Physical Model -- 3 Finite Element Analysis of the Model -- 3.1 FE Analysis of the Full Model -- 3.2 FE Analysis of Interconnect Submodel -- 4 Optimal Design of Stress-Reducing Ring -- 4.1 Mathematical Model of Optimization -- 4.2 Optimization Algorithm -- 4.3 Optimization Result -- 5 Conclusion -- References -- Hybrid Neural Network Method of the Lithium-Ion Battery Remaining Useful Life Prediction -- 1 Introduction -- 2 Hybrid Neural Network -- 3 Prediction Experiment and Analysis -- 3.1 Research Contents -- 3.2 Data Source and Prediction Evaluation Criteria -- 3.3 Model Prediction Experiment. 3.4 Comparisons of Different Prediction Methods -- 4 Conclusion -- References -- A New Kind of Cross Line Based Crossover Used for Energy Saving and Security Enhancement of Industrial Wireless System -- 1 Introduction -- 2 Signal Propagation Loss Analysis -- 3 Beamforming Theory Analysis -- 4 Structure of the Crossover -- 5 Validation -- 6 Conclusion -- References -- Review of Machine Learning for Short Term Load Forecasting -- 1 Introduction -- 2 A Brief Introduction to Machine Learning for LSTM -- 2.1 ANN -- 2.2 SVM -- 2.3 KNN -- 2.4 Related Work -- 3 Conclusion -- References -- Design of an Online Detection System for High-Power Submerged Arc Furnace with Magnetic Field Difference -- 1 Introduction -- 2 Magnetic Field Differential Array Detection Model -- 3 System Design and Implementation -- 4 System Solution Verification -- 5 Conclusion -- References -- Distributed Model Predictive Active Power Control for Large-Scale Wind Farm Based on ADMM Algorithm -- 1 Introduction -- 2 Architecture of DMPC -- 2.1 Configuration of a Wind Farm -- 2.2 Concept of DMPC -- 3 DMPC Active Power Control of Wind Farm -- 3.1 Predictive Model -- 3.2 Optimization Problem Formulation -- 3.3 Solution Based on ADMM -- 4 Case Study -- 5 Conclusion -- References -- Modelling and Practical Stability Analysis of Wind Turbines with Battery Energy Storage System Based on Dwell Time -- 1 Introduction -- 2 Modelling of WT/BESS -- 2.1 Modelling of WT -- 2.2 BESS Model -- 2.3 Modelling of WT/BESS -- 3 Practical Stability Based on the Dwell Time for WT/BESS -- 4 Simulation Result -- 5 Conclusion -- References -- Intelligent Methods in Developing Electric Vehicles, Energy Conversion Devices and Equipment -- Design of DC Electric Parameter Measurement System -- 1 Introduction -- 2 System Design -- 2.1 MCU Minimum System -- 2.2 Voltage Acquisition Module. 2.3 Resistance Measurement Module. |
Record Nr. | UNINA-9910506407103321 |
Singapore : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Recent advances in sustainable energy and intelligent systems : 7th international conference on life system modeling and simulation, LSMS 2021 and 7th international conference on intelligent computing for sustainable energy and environment, ICSEE 2021, Hangzhou, China, October 30 - November 1, 2021, proceedings, part II / / Kang Li [and five others], editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (569 pages) |
Disciplina | 003.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer simulation
Computer networks Computer architecture |
ISBN | 981-16-7210-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Power and Energy Systems -- Coordinative Voltage Control of Building in Supporting Electric Vehicle Integration in Distribution Networks -- 1 Introduction -- 2 Potential of HPs in Supporting EV Integration -- 2.1 Load Profile -- 2.2 EV and HP Coordination Within One House -- 2.3 EV and HP Loads Within Multiple Houses -- 3 Impacts on the Electricity Distribution Network -- 3.1 Scenario 1 - EVs and HPs at Every House Without Coordination -- 3.2 Scenario 2 - EVs and HPs with Coordination Within a Single House -- 3.3 Scenario 3 - EVs and HPs at Every House with Coordination of Multiple House on the Network -- 4 Conclusion -- References -- Intellectualizing Network Distribution: A Case in the Ruyi New District in Hohhot -- 1 Introduction -- 2 Results and Discuss -- 2.1 The Intellectualizing Upgradation of the Present Distribution Network -- 2.2 Construction of the Intelligent Distribution Network -- 3 Conclusion -- References -- Classifications of Lithium-Ion Battery Electrode Property Based on Support Vector Machine with Various Kernels -- 1 Introduction -- 2 Key Steps in Battery Electrode Manufacturing -- 3 Technology -- 3.1 Support Vector Machine Classification -- 3.2 Performance Indicators -- 4 Result and Discussion -- 5 Conclusions -- References -- Robot Platform for Live Working in Distribution Network -- 1 Introduction -- 2 Robot Platform Design -- 2.1 Mobile Chassis -- 2.2 Upper Installation System -- 2.3 Control System -- 3 Finite Element Analysis -- 4 Experiments -- 4.1 Mechanical Performance Test of Insulating Arm -- 4.2 Electrical Performance Test -- 4.3 Application Test -- 5 Conclusion -- References -- A Novel Optimization Algorithm for Solving Parameters Identification of Battery Model -- 1 Introduction -- 2 Model and Problem Approach -- 2.1 Battery Energy Store Model.
2.2 Relation Curve Between OCV and SOC -- 2.3 Objective Function -- 3 Improved JAYA Algorithm -- 3.1 Self-adaptive Weight -- 3.2 Experience-Based Learning Strategy -- 3.3 Chaotic Elite Learning Method -- 4 Results and Analysis -- 5 Conclusions -- References -- Steady-State Modeling and Power Flow Calculation of Integrated Electric-Gas Coupling Energy System Based on Energy Circuit Theory -- 1 Introduction -- 2 Integrated Energy System Modeling Based on the Energy Circuit Theory of Electric-Gas Coupling -- 2.1 Unified Energy Approach Methodology -- 2.2 Mathematical Model of Electrical Interrotation Based on Unified Energy Circuit Theory -- 2.3 Steady-State Model of Gas Path -- 2.4 Power Grid Model -- 3 PSO-Newton Power Flow Calculation Method -- 4 Analysis of Calculation Examples -- 5 Conclusion -- References -- Study on the Prediction of Indoor Temperature and Thermal Load on Different Floors in a Community -- 1 Introduction -- 2 Typical User Analysis of the Community -- 3 Methods -- 3.1 Correlation Analysis of Input Variables -- 3.2 Methods -- 4 Analysis of Results and Discussion -- 4.1 Thermal Demand -- 4.2 TA-1,TA-2,TA-6Predictive Analysis -- 4.3 TLPrediction -- 5 Conclusion -- References -- Multi-objective Optimization of Electric Vehicle and Unit Commitment Considering Users Satisfaction: An Improved MOEA/D Algorithm -- 1 Introduction -- 2 Problem Model -- 2.1 The Objective Function -- 2.2 Limitations of the Model -- 3 Improvement of MOEA/D Algorithm -- 3.1 Limitations of the Model -- 3.2 Improvement of Solution Update Mode -- 3.3 Selection of the Optimal Value -- 3.4 Algorithm Steps -- 4 Experimental Results and Analysis -- 4.1 Parameter Description -- 4.2 The Experimental Results Show -- 5 Conclusion -- References -- Modeling of Supercritical Once-Through Boiler-Turbine Units Based on Improved Sine and Cosine Algorithm -- 1 Introduction. 2 Model Description -- 2.1 The Pulverizing System -- 2.2 The Boiler and Attemperator Section -- 2.3 The Turbine Section -- 3 Improved Sine and Cosine Algorithm -- 4 Parameter Identification and Simulation -- 4.1 Unknown Function -- 4.2 Illustrative Example -- 5 Conclusion -- References -- Energy Storage Capacity Optimization for Deviation Compensation in Dispatching Grid-Connected Wind Power -- 1 Introduction -- 2 The Impact of Scheduling Deviation Distribution Characteristics on Energy Storage Capacity Allocation -- 2.1 Error Distribution Analysis -- 2.2 The Energy Storage Capacity Demand for Deviation Compensation -- 3 Optimal Energy Storage Capacity Allocation Considering Load Variation and Operating Costs in Power System Dispatch -- 3.1 Scheduling Optimization Considering Load Variations -- 3.2 Scheduling Optimizing Considering Operating Costs -- 4 A Case Study -- 5 Discussions and Conclusions -- 6 Patents -- References -- An H-ELM Based Equivalent Droop Control for Hybrid Power Systems -- 1 Introduction -- 2 Droop Control of PV Power Plant and BESS -- 2.1 Droop Control of BESS -- 2.2 Droop Control of PV -- 3 Equivalent Droop Control of Hybrid Power System -- 3.1 H-ELM -- 3.2 ELM Neural Network -- 3.3 ELM Sparse Autoencoder -- 3.4 Training Data of H-ELM -- 4 Simulation Results -- 5 Conclusion -- References -- Energy-Efficient Operation Curve Optimization for High-Speed Train Based on GSO Algorithm -- 1 Introduction -- 2 Analysis of Energy-Saving Operation and Its Control Impact Based on ATO -- 2.1 Analysis of High-Speed Train Operation Process -- 2.2 Analysis of High-Speed Train Operation Manipulation Strategy -- 3 Energy-Efficient Operation System Method and Basic Control Strategy -- 3.1 Performance Indicators for Operating Curve Optimization -- 3.2 Analysis of Train Operation Curve Optimization Process. 4 Solution Methodology Based on GSO Algorithm -- 5 Simulation and Verification -- 6 Conclusion and Summary -- References -- Research on Punctual and Energy-Efficient Train Driving Strategy Based on Two-Stage Allocation of Redundant Running Time -- 1 Introduction -- 2 Energy-Efficient Train Control Problem -- 2.1 The Train Dynamics -- 2.2 Train Driving Regimes -- 2.3 Train Energy Consumption Modelling -- 2.4 Mathematical Model of Energy-Efficient Train Control -- 3 Two-Stage Allocation of Redundant Running Time -- 3.1 Time-Optimal Speed Profile -- 3.2 Energy-Efficient Sequence of Driving Regimes -- 3.3 Two-Stage Allocation of Redundant Running Time -- 3.4 Relationship Between Allocated Redundant Running Time and Saved Energy -- 4 Case Study -- 4.1 Data of Train and Line -- 4.2 Time-Optimal Speed Profile -- 4.3 First-Stage Optimized Speed Profile -- 4.4 Second-Stage Optimized Speed Profile -- 5 Conclusion -- References -- Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction -- Optimization Design of Flexible Solar Cell Interconnect Based on Submodel Method -- 1 Introduction -- 2 Research Object and Physical Model -- 3 Finite Element Analysis of the Model -- 3.1 FE Analysis of the Full Model -- 3.2 FE Analysis of Interconnect Submodel -- 4 Optimal Design of Stress-Reducing Ring -- 4.1 Mathematical Model of Optimization -- 4.2 Optimization Algorithm -- 4.3 Optimization Result -- 5 Conclusion -- References -- Hybrid Neural Network Method of the Lithium-Ion Battery Remaining Useful Life Prediction -- 1 Introduction -- 2 Hybrid Neural Network -- 3 Prediction Experiment and Analysis -- 3.1 Research Contents -- 3.2 Data Source and Prediction Evaluation Criteria -- 3.3 Model Prediction Experiment. 3.4 Comparisons of Different Prediction Methods -- 4 Conclusion -- References -- A New Kind of Cross Line Based Crossover Used for Energy Saving and Security Enhancement of Industrial Wireless System -- 1 Introduction -- 2 Signal Propagation Loss Analysis -- 3 Beamforming Theory Analysis -- 4 Structure of the Crossover -- 5 Validation -- 6 Conclusion -- References -- Review of Machine Learning for Short Term Load Forecasting -- 1 Introduction -- 2 A Brief Introduction to Machine Learning for LSTM -- 2.1 ANN -- 2.2 SVM -- 2.3 KNN -- 2.4 Related Work -- 3 Conclusion -- References -- Design of an Online Detection System for High-Power Submerged Arc Furnace with Magnetic Field Difference -- 1 Introduction -- 2 Magnetic Field Differential Array Detection Model -- 3 System Design and Implementation -- 4 System Solution Verification -- 5 Conclusion -- References -- Distributed Model Predictive Active Power Control for Large-Scale Wind Farm Based on ADMM Algorithm -- 1 Introduction -- 2 Architecture of DMPC -- 2.1 Configuration of a Wind Farm -- 2.2 Concept of DMPC -- 3 DMPC Active Power Control of Wind Farm -- 3.1 Predictive Model -- 3.2 Optimization Problem Formulation -- 3.3 Solution Based on ADMM -- 4 Case Study -- 5 Conclusion -- References -- Modelling and Practical Stability Analysis of Wind Turbines with Battery Energy Storage System Based on Dwell Time -- 1 Introduction -- 2 Modelling of WT/BESS -- 2.1 Modelling of WT -- 2.2 BESS Model -- 2.3 Modelling of WT/BESS -- 3 Practical Stability Based on the Dwell Time for WT/BESS -- 4 Simulation Result -- 5 Conclusion -- References -- Intelligent Methods in Developing Electric Vehicles, Energy Conversion Devices and Equipment -- Design of DC Electric Parameter Measurement System -- 1 Introduction -- 2 System Design -- 2.1 MCU Minimum System -- 2.2 Voltage Acquisition Module. 2.3 Resistance Measurement Module. |
Record Nr. | UNISA-996464399103316 |
Singapore : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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