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AI and machine learning paradigms for health monitoring system : intelligent data analytics / / Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi, editors
| AI and machine learning paradigms for health monitoring system : intelligent data analytics / / Hasmat Malik, Nuzhat Fatema, Jafar A. Alzubi, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (522 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Machine learning Intel·ligència artificial Aprenentatge automàtic Intel·ligència computacional |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-334-412-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484882003321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Artificial Intelligence Techniques in Engineering : SIGMA 2018, Volume 2 / / edited by Hasmat Malik, Smriti Srivastava, Yog Raj Sood, Aamir Ahmad
| Applications of Artificial Intelligence Techniques in Engineering : SIGMA 2018, Volume 2 / / edited by Hasmat Malik, Smriti Srivastava, Yog Raj Sood, Aamir Ahmad |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (630 pages) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Electric power production Computational Intelligence Artificial Intelligence Electrical Power Engineering |
| ISBN | 981-13-1822-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: A New Approach for Power Loss Minimization in Radial Distribution Networks -- Chapter 2: Security Constrained Unit Commitment for Joint Energy and Reserve Market based on MIP Method -- Chapter 3: In-depth analysis of Charge leakage through vegetation in transmission and distribution lines -- Chapter 4: Comparative Study of Different Neural Networks for One Year Ahead Load Forecasting -- Chapter 5: Reliability of PMU using Fuzzy – Markov Dynamic Method -- Chapter 6: A Hybrid Intelligent Model for Power Quality Disturbance Classification -- Chapter 7: DSTATCOM with T-connected Transformer for improving power Quality -- Chapter 8: Voltage Stability Enhancement of Primary Distribution System by Optimal DG Placement -- Chapter 9: Demand Forecasting Using Artificial Neural Networks- A case study of American Retail Corporation. |
| Record Nr. | UNINA-9910483063903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Artificial Intelligence Techniques in Engineering : SIGMA 2018, Volume 1 / / edited by Hasmat Malik, Smriti Srivastava, Yog Raj Sood, Aamir Ahmad
| Applications of Artificial Intelligence Techniques in Engineering : SIGMA 2018, Volume 1 / / edited by Hasmat Malik, Smriti Srivastava, Yog Raj Sood, Aamir Ahmad |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (625 pages) |
| Disciplina | 006 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Power electronics Computational Intelligence Artificial Intelligence Power Electronics, Electrical Machines and Networks |
| ISBN | 981-13-1819-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Annual Energy Savings with Multiple DG and D-STATCOM Allocation using PSO in DNO Operated Distribution Network -- Chapter 2: Optimized 2DOF PID for AGC of Multi Area Power System using Dragon-Fly -- Chapter 3:Wide Area Monitoring System using Integer Linear Programming -- Chapter 4: Fault Classification and Faulty Phase Selection Using Symmetrical Components of Reactive Power for EHV Transmission Line -- Chapter 5: Optimal Bidding Strategy in Deregulated Power Market Using Krill Herd Algorithm -- Chapter 6: A Novel Intelligent Bifurcation Classification Model Based on Artificial Neural Network (ANN) -- Chapter 7: Teaching Learning Based Optimization for Frequency Regulation in Two Area Thermal-Solar Hybrid Power System -- Chapter 8: An Approach to Minimize the Transmission Loss and Improves the Voltage Profile of Load Bus Using Interline Power Flow Controller (IPFC) -- Chapter 9: A Novel Intelligent Transmission Line Fault Diagnosis Model Based on EEMD And Multiclass PSVM. |
| Record Nr. | UNINA-9910484133303321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent data analytics for power and energy systems / / edited by Hasmat Malik, Waseem Ahmad, and D. P. Kothari
| Intelligent data analytics for power and energy systems / / edited by Hasmat Malik, Waseem Ahmad, and D. P. Kothari |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (649 pages) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Data mining |
| ISBN |
981-16-6080-8
981-16-6081-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743233903321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning, Advances in Computing, Renewable Energy and Communication : Proceedings of MARC 2020
| Machine Learning, Advances in Computing, Renewable Energy and Communication : Proceedings of MARC 2020 |
| Autore | Tomar Anuradha |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (650 pages) |
| Altri autori (Persone) |
MalikHasmat
KumarPramod IqbalAtif |
| Collana | Lecture Notes in Electrical Engineering Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2354-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Control Plane Systems Tracing and Debugging-Existing Problems and Proposed Solution -- 1 Introduction -- 1.1 Intent-Driven Actuation -- 1.2 Coalescing Effects -- 1.3 Control Plane Systems -- 1.4 Hierarchical Control Plane Systems -- 1.5 Build Systems in Control Plane Systems -- 2 Problem Statement -- 3 Related Work -- 3.1 Distributed Systems Tracing -- 3.2 Monitoring and Logging -- 3.3 Provenance Tracking -- 3.4 Build Systems -- 4 Solution Outline -- 4.1 Provenance-Enhanced Distributed Systems Tracing Model -- 4.2 Architecture -- 5 Conclusions -- References -- Distribution Expansion Planning in a Deregulated Environment -- 1 Introduction -- 2 Power Markets and Structure -- 2.1 Conventional Power Market -- 2.2 Modern Deregulated Power Market -- 2.3 Deregulation Process -- 2.4 Various Market Models -- 3 Distributed Generation and Expansion Planning -- 3.1 Distributed Generation -- 3.2 Distribution System Expansion with DG -- 3.3 Methods and Techniques for Distribution Expansion Planning with DG -- 3.4 Major Advantages of DGs Integration with Expansion Planning -- 4 Distributed System Expansion Planning with DG Under Deregulated Market -- 4.1 Impacts of Deregulation in DG Expansion Planning -- 4.2 Best Practices in DG Expansion Planning Under Deregulated Market -- 5 Recommendations -- 6 Conclusions -- References -- Density-Based Remote Override Traffic Control System -- 1 Introduction -- 1.1 Long Traffic Queues -- 1.2 Poor Traffic Management -- 2 Literature Review -- 3 Methodology and System Design -- 3.1 Design of Density-Based Traffic Light Control System -- 3.2 Choice of Microcontroller and Peripherals -- 3.3 Choice of Traffic Light Indicators -- 4 Implementation -- 4.1 Arrangement and Implementation of Infrared Sensors -- 4.2 System Testing -- 4.3 Algorithm -- 5 Result -- 6 Conclusion.
References -- Reactive Power Pricing Framework in Maharashtra -- 1 Introduction -- 2 Impact of RE Penetration on the Grid -- 3 Grid Stability -- 4 Need for Reactive Power Management -- 5 Reactive Power Compensation Methods -- 5.1 Synchronous Condenser -- 5.2 Induction Generator -- 5.3 Reactive Power Capability of Generators -- 5.4 OLTC Transformer -- 5.5 STATCOM -- 5.6 Static VAR Compensators (SVC) -- 5.7 Dynamic Voltage Regulator (DVR) -- 6 Reactive Power Practices in India -- 7 Energy Accounting: Overview and Importance -- 7.1 Active Energy Accounting -- 7.2 Reactive Energy Accounting -- 8 Regulatory Framework for Reactive Power Management in India -- 9 Issues of Reactive Power Management in India -- 9.1 PPA and Reactive Power Charges -- 9.2 Lack of Incentives -- 9.3 Absence of Reactive Energy Accounting Framework -- 10 Suggested Reactive Power Pricing Framework for Maharashtra -- 10.1 Methodology for Accounting and Settlement -- 10.2 Accounting and Settlement of Reactive Energy -- 10.3 Settlement Procedure -- 11 Conclusion -- 12 Way Forward -- References -- Design Optimization of Solar Thermal Energy Storage Tank: Using the Stratification Coefficient -- 1 Introduction -- 1.1 Methods of Thermal Storage -- 1.2 Sensible Heat of Storage -- 1.3 Latent Heat of Storage -- 2 Methodology -- 3 Mass Flow Rate of Air (Heat Transfer Fluid) -- 4 Results and Discussion -- References -- Investigation of Hydro Energy Potential and Its Challenges in Himalayan State: Uttarakhand -- 1 Introduction -- 2 Development of Hydropower Resources in Uttarakhand -- 3 Challenges in Development of HPPs in Uttarakhand -- 4 Strength and Opportunities of HPPs -- 5 Flaws of HPPs -- 6 Conclusions -- References -- Big Data Preprocessing Phase in Engendering Quality Data -- 1 Introduction -- 2 Characteristics of Big Data -- 3 Big Data Analysis Process -- 3.1 Data Acquisition. 3.2 Data Storage -- 3.3 Data Management -- 3.4 Data Analytics -- 3.5 Data Visualization -- 4 Big Data Analytics Techniques -- 5 Survey and Analysis -- 6 Conclusion -- References -- Performance Evaluation of Sliding Mode Control for Underactuated Systems Based on Decoupling Algorithm -- 1 Introduction -- 2 System Description -- 3 Controller Design -- 4 Simulation and Results -- 5 Conclusions -- References -- Fuzzy Logic-Based Range-Free Localization in WSN -- 1 Introduction -- 2 Preliminaries -- 3 Proposed Localization Algorithm -- 4 Simulation Results -- 5 Conclusion -- References -- Analysis of Algorithms in Medical Image Processing -- 1 Introduction -- 2 Applications of Medical Imaging -- 2.1 Computed Tomography (CT) -- 2.2 Ultrasound Imaging -- 2.3 Nuclear Medicine -- 2.4 X-Ray Imaging -- 2.5 Magnetic Resonance Imaging -- 3 Steps in Medical Image Processing -- 4 Algorithms in Medical Image Processing -- 4.1 Feature Extraction -- 4.2 SLIC Algorithm -- 4.3 Edge Detection -- 5 Conclusion and Future Scope -- References -- Technoeconomic Feasibility and Sensitivity Analysis of Off-Grid Hybrid Energy System -- 1 Introduction -- 2 Input Parameters and Resource Variables -- 3 Economic Modeling -- 4 Results and Discussion -- 5 Conclusion -- References -- Analysis of the Impact of AC Faults and DC Faults on the HVDC Transmission Line -- 1 Introduction -- 2 Basic Component of HVDC System -- 3 Modeling of HVDC -- 4 DC Voltage Control -- 5 Faults in the HVDC System -- 5.1 Direct Current Line Fault -- 5.2 AC Faults -- 6 Simulation Result -- 6.1 DC Faults -- 6.2 AC Faults -- 6.3 Results and Discussion -- 7 Conclusion -- References -- Improving QoS of Cloudlet Scheduling via Effective Particle Swarm Model -- 1 Introduction -- 1.1 Motivation -- 1.2 Problem Formulation -- 2 Background Study and Related Works -- 2.1 CloudSim Toolkit -- 2.2 Related Work. 3 Proposed System -- 4 Results and Discussion -- 4.1 Resource Utilization Comparison -- 4.2 Comparison of Resource Availability -- 4.3 Comparison of Service-Level Agreement -- 4.4 Comparison of Standard Deviation -- 5 Conclusion -- References -- Performance Evaluation of HHO Optimized Model Predictive Controller for AVR System and Its Comparison with Conventional Controllers -- 1 Introduction -- 2 System Under Consideration -- 2.1 Amplifier -- 2.2 Exciter -- 2.3 Generator -- 2.4 Sensor -- 3 Model Predictive Controller -- 4 Harris Hawks Optimization Algorithm -- 5 Results and Discussions -- 5.1 Basic Performance Analysis -- 5.2 Robustness Analysis Under Parameter Variation Case -- 5.3 Robustness Analysis Under External Disturbance Case -- 6 Conclusion -- References -- Squared Error Autocorrelation-Based VSS-LMS Control Algorithm for Grid-Integrated Solar Photovoltaic System -- 1 Introduction -- 2 System Design -- 3 Control Algorithm -- 3.1 Least Mean Square -- 3.2 Variable Step Size LMS Using Squared Error Autocorrelation -- 3.3 PWM Current Controller -- 4 Results and Discussions -- 5 Conclusion -- Appendix -- References -- Optimal Power Flow and Its Vindication in Deregulated Power Sector -- 1 Introduction -- 2 Mathematical Model -- 2.1 Thermal Generating Units Cost Model -- 2.2 Emission and Carbon Tax -- 2.3 Optimization Objectives -- 3 PSO Algorithm -- 4 Results and Discussion -- 4.1 Case 1 -- 4.2 Case 2 -- 5 Conclusion -- References -- Distribution Automation and Energy Management System in Smart Grid -- 1 Introduction -- 2 Smart Grid -- 2.1 Definition -- 2.2 Comparing Conventional Grid System and Smart Grid System [2, 11] -- 2.3 Challenges -- 3 Distribution Automation -- 3.1 Benefits of Distribution Automation -- 3.2 Distribution Automation Field Devices -- 3.3 Case Study of Jinan Grid -- 4 Energy Management System -- 4.1 Definition. 4.2 Need of Energy Management System -- 4.3 Types of Energy Management -- 4.4 Tools and Techniques Used for Energy Management in Smart Grid -- 4.5 Benefits of Energy Management in Smart Grid [16, 19] -- 4.6 Electricity Tariff System -- 5 Conclusion -- References -- Optimal Planning of Green Hybrid Microgrid in Power Industry -- 1 Introduction -- 2 Input Parameters -- 2.1 Resources -- 2.2 System Components -- 2.3 Generation Modelling -- 3 Result and Discussion -- 4 Conclusion -- References -- Open Access Same-Time Information System (OASIS) of New York -- 1 Introduction -- 2 New York Independent System Operator (NYISO) -- 2.1 NYISO Work -- 3 Auction and Load Bidding -- 3.1 Auction -- 3.2 Load Bidding -- 3.3 Interface Data -- 4 Results -- 4.1 Day-Ahead Market Zone LBMP -- 4.2 Real-Time Market Zonal LBMP -- 4.3 ATC and TTC -- 4.4 Load Bidding of Different Zones -- 4.5 Interface Data Window of PJM and Hydro-Quebec -- 5 Conclusion -- References -- Open-Access Same-Time Information System: Extended to Indian Power Market -- 1 Introduction -- 2 Historical Review -- 3 OASIS: An Open Platform -- 4 Prototype Website -- 5 Proposed Strategies -- 6 Future Scope in the Indian Power Market -- References -- Enhancing Security Using Quantum Computing (ESUQC) -- 1 Introduction -- 2 AIMS and Objectives -- 3 Literature Review -- 4 Methodology -- 4.1 Grover's Algorithm -- 4.2 Shor's Algorithm -- 5 Conclusion -- References -- Deviation Settlement Mechanism and Its Implementation in Indian Electricity Grid -- 1 Introduction -- 2 Concept of Grid -- 3 Indian Electricity Grid Structure -- 4 Deviation Settlement Charges (DSC) -- 5 Conclusion -- References -- Integration of Battery Charging and Swapping Using Metaheuristics: A Review -- 1 Introduction -- 2 Forecasting on the Arrivals of EVs -- 3 Metaheuristics -- 4 Battery Swapping Van (BSV) -- 5 Case Study -- 6 Conclusions. References. |
| Altri titoli varianti | Machine Learning, Advances in Computing, Renewable Energy and Communication |
| Record Nr. | UNINA-9910497095803321 |
Tomar Anuradha
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaheuristic and evolutionary computation : algorithms and applications / / editors, Hasmat Malik [et al.]
| Metaheuristic and evolutionary computation : algorithms and applications / / editors, Hasmat Malik [et al.] |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XXIX, 820 p. 485 illus., 368 illus. in color.) |
| Disciplina | 519.6 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Mathematical optimization
Evolutionary computation Metaheuristics |
| ISBN | 981-15-7571-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction: Optimization and Metaheuristics Algorithms -- Chapter 2. Metaheuristics Paradigms for Renewable Energy Systems: Advances in Optimization Algorithms -- Chapter 3. Tackling Power Quality Issues using Metaheuristics -- Chapter 4. Meta-Heuristic application in Suppression of Noise -- Chapter 5. A review on Genetic Algorithm and its application in Power system Engineering -- Chapter 6. Different Variants of Particle Swarm Optimization Algorithms and its Application: A Review -- Chapter 7. Application of Metaheuristics in Power Electronics -- Chapter 8. Cuckoo Search Algorithm: A Review of Recent Variants and Engineering Applications -- Chapter 9. Energy Management System for Hybrid Energy System: Renewable Integration, modeling & optimization, control aspects and conceptual framework -- Chapter 10. Recent Advances and Application of Metaheuristic Algorithms: A survey (2014-2020). |
| Record Nr. | UNINA-9910483375203321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Photovoltaic Systems Technology
| Photovoltaic Systems Technology |
| Autore | Husain Mohammed Aslam |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (279 pages) |
| Altri autori (Persone) |
AhmadWaseem
BakhshFarhad Ilahi SanjeevikumarP MalikHasmat |
| ISBN |
1-394-16767-9
1-394-16766-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Chapter 1 History of Solar PV System and its Recent Development -- 1.1 Introduction -- 1.2 Solar Photovoltaic (PV) -- 1.3 Historical Overview -- 1.4 Grid-Connected PV System -- 1.4.1 PV Module -- 1.4.2 PV Array and Cells -- 1.4.3 Solar Inverter -- 1.4.3.1 Central Inverter -- 1.4.3.2 Module Inverter -- 1.4.3.3 String Inverter -- 1.4.3.4 Multi String Inverter -- 1.4.4 Characteristics of Solar Inverter -- 1.4.5 Battery Storage in PV System -- 1.5 Power Losses in PV System -- 1.6 Different MPPT and Solar Tracker -- 1.6.1 Perturb and Observe (P& -- O) Algorithm -- 1.6.2 Incremental Conductance Algorithm -- 1.6.3 Fractional Short-Circuit Current (FSCC) Algorithm -- 1.6.4 Artificial Intelligence (AI) Algorithms -- 1.7 Development in Standalone PV System -- 1.8 The Development and Challenges in DC-DC Converter for PV Applications -- 1.8.1 Recent Development in Microinverters for PV Applications -- 1.9 PV-Powered Electric Vehicles -- 1.10 Discussion -- 1.11 Conclusion -- References -- Chapter 2 Evolution and Modeling of Solar Photovoltaic Cells: From Early to Modern Concepts -- 2.1 Introduction -- 2.2 History of Solar Cell -- 2.3 Solar PV Cell Formation -- 2.4 Solar Cell Models -- 2.5 Applications -- 2.6 Conclusion -- References -- Chapter 3 Clustering of Panels and Shade Diffusion Techniques for Partially Shaded PV Array-Review -- 3.1 Introduction -- 3.2 Reconfiguration of PV Array -- 3.2.1 Modeling of PV Cell -- 3.2.2 Definition of PV Reconfiguration -- 3.3 Classification of Reconfiguration Strategies -- 3.3.1 Static Reconfiguration Strategies -- 3.3.1.1 Sudoku Algorithm -- 3.3.1.2 TomTom Pattern -- 3.3.1.3 Chaotic Baker Method -- 3.3.1.4 Magic Square Technique -- 3.3.1.5 Futoshiki Puzzle Algorithm -- 3.3.1.6 Zig-Zag Approach.
3.3.1.7 Odd Even Approach -- 3.3.1.8 Skyscraper Method -- 3.3.2 Dynamic Reconfiguration Strategies -- 3.3.2.1 Electrical Array Reconfiguration Method -- 3.3.2.2 Genetic Algorithm (GA) -- 3.3.2.3 Particle Swarm Optimization -- 3.3.2.4 Artificial Intelligence Algorithm -- 3.3.2.5 Adaptive Array Reconfiguration -- 3.3.2.6 Irradiation Equivalence by Relocation of Panels -- 3.3.2.7 Grasshopper Optimization Algorithm -- 3.3.2.8 Modified Harris Hawk Optimizer Algorithm -- 3.4 Conclusion -- References -- Chapter 4 Advances in Solar PV-Powered Electric Vehicle Charging System -- 4.1 Introduction -- 4.2 Overview of Electric Vehicle (EV) Charging System -- 4.3 Evolution of Electric Vehicles -- 4.4 Classification of Electric Vehicle (EV) Charging Stations -- 4.4.1 Residential/Home Charging Station -- 4.4.2 Public Charging Station -- 4.4.3 Charging During Park -- 4.4.4 Fifteen Minutes Less Charging or Charging Swabs -- 4.5 Approaches to PV-EV Charging System -- 4.5.1 Solar PV Grid-Charging Station -- 4.5.2 Solar PV Standalone Charging Station -- 4.5.2.1 Solar PV Standalone Charging Station Without Battery Storage Unit (BSU) -- 4.5.2.2 Solar PV Standalone Charging Station with Battery Storage Unit (BSU) -- 4.6 Recharging and Innovative Methods -- 4.6.1 V2G (Vehicle to Grid) Technology -- 4.6.2 Hydrogen-Based Energy Storage -- 4.7 Energy Storage Systems for EV Charging -- 4.8 Hybrid Energy Storage Technologies to Reduce the Size of the Battery -- 4.8.1 Hybrid Energy Storage Technologies -- 4.8.2 Hybrid Energy Storage Challenges -- 4.8.3 Challenges in Electric Vehicles -- 4.9 Battery Management System (BMS) -- 4.10 Conclusion and Future Aspects -- References -- Chapter 5 A Review of Maximum Power Point Tracking (MPPT) Techniques for Photovoltaic Array Under Mismatch Conditions -- 5.1 Introduction -- 5.2 Evaluation of MPPT Techniques. 5.2.1 Perturb and Observe (P& -- O) Technique -- 5.2.2 Perturb and Observe Algorithm with Variable Step Magnitude -- 5.2.3 MPPT Based on Incremental Conductance -- 5.2.4 Artificial Neural Network (ANN)-Based MPPT -- 5.2.5 The Fuzzy Logic Control (FLC)-Based MPPT -- 5.2.6 Hill Climbing Control-Based MPPT -- 5.2.7 Global Maximum Power Point (GMPP) Technique -- 5.2.8 Particle Swarm Optimization (PSO)-Based MPPT -- 5.2.9 Constant Voltage-Based MPPT -- 5.2.10 Constant Current-Based MPPT -- 5.2.11 Grey Wolf Optimization (GWO) Algorithm -- 5.2.12 Ant Colony Optimization (ACO)-Based MPPT -- 5.2.13 Artificial Bee Colony (ABC) Technique -- 5.2.14 Firefly Algorithm (FA)-Based MPPT -- 5.2.15 Curve Tracer MPPT -- 5.2.16 Cuckoo Search (CS)-Based MPPT -- 5.2.17 Chaotic Search-Based MPPT -- 5.2.18 Random Search Method (RSM)-Based MPPT -- 5.3 Conclusion -- References -- Chapter 6 Metaheuristic Techniques for Power Extraction from PV-Based Hybrid Renewable Energy Sources (HRESs) -- Abbreviation -- 6.1 Introduction -- 6.2 Hybrid Renewable Energy Systems -- 6.2.1 Types of Hybrid Renewable Energy Systems -- 6.2.1.1 Grid-Connected HRE System -- 6.2.1.2 Stand-Alone or Off-Grid HRE System -- 6.3 PV Array Characteristics -- 6.3.1 The I-V and P-V Curves of a Solar PV Cell Under Partially Shaded Conditions -- 6.4 Evaluation of Various MPPT Methods Using Standard Conventional Approaches -- 6.5 Evaluation of Various MPPT Methods Using Advanced Approaches (Metaheuristic Optimization Approaches) -- 6.5.1 Benefits and Restrictions of MPPT Approaches Based on Metaheuristic Optimization -- 6.6 Conclusion and Future Scope -- References -- Chapter 7 Intelligent Modeling and Estimation of Solar Radiation Data Using Artificial Intelligence -- 7.1 Introduction -- 7.2 The Solar-AI Span: Background and Literature Review. 7.3 Modeling and Prediction of Data on Solar Irradiance Using AI Approaches -- 7.4 Detailed Comparative Analysis of Different AI Approaches Used in Modeling and Forecasting of Data on Solar Radiation -- 7.5 Discussion -- 7.6 Conclusion -- References -- Chapter 8 Application of ANN-ANFIS Model for Forecasting Solar Power -- 8.1 Introduction -- 8.1.1 Motivation and Significance -- 8.1.2 Literature Survey -- 8.1.3 Research Gap -- 8.1.4 Novelty -- 8.2 Overview of ANN -- 8.2.1 Models of ANN -- 8.3 ANFIS Architecture -- 8.3.1 ANFIS Layers -- 8.4 Characterization of Solar Plant -- 8.5 Classification of Weather Condition -- 8.6 Statistical Performance Indicators -- 8.6.1 MAPE -- 8.6.2 n-MAE -- 8.7 Development of ANN-ANFIS Model -- 8.8 Results -- 8.8.1 Type-a (Sunny) Model -- 8.8.2 Type-b (Hazy) Model -- 8.8.3 Type-c (Rainy) Model -- 8.8.4 Type-d (Cloudy) Model -- 8.8.5 Comparative Analysis of the ANN-ANFIS Models with Fuzzy Logic Model -- 8.9 Conclusions -- Acknowledgments -- Conflict of Interest -- ORCID -- References -- Chapter 9 Machine Learning Application for Solar PV Forecasting -- 9.1 Introduction -- 9.2 Literature Review -- 9.3 Research Methods and Materials -- 9.3.1 Dataset -- 9.4 Proposed Work -- 9.4.1 ARIMA Model -- 9.5 Experimental Simulation, Result Analysis, Comparison, and Discussion -- 9.5.1 Data Reprocessing -- 9.5.2 Simulation -- 9.5.3 Comparison and Discussion -- 9.6 Conclusion -- References -- Chapter 10 Techno-Economic Comparative Analysis of On-Ground and Floating PV Systems: A Case Study at Gangrel Dam, India -- Description of Symbols/Abbreviations -- 10.1 Introduction -- 10.2 Project Site Assessment for Various Parameters -- 10.3 Design of On-Ground and Floating PV Systems -- 10.3.1 On-Ground Photovoltaic System -- 10.3.2 Floating PV System -- 10.4 Simulation, Results and Analysis -- 10.4.1 On-Ground PV System. 10.4.1.1 Monthly Energy Production -- 10.4.1.2 Annual Energy Production -- 10.4.1.3 Loss Diagram -- 10.4.1.4 Analysis of Greenhouse Gas Emission -- 10.4.2 Floating PV System -- 10.4.2.1 Effect of Reservoir Water Level on Power Output of Associated Hydropower Plant -- 10.4.2.2 Effect on PV System Structure Material, Flora-Fauna of Water and Other Activities -- 10.4.3 Comparative Analysis Between On-Ground PV System and Floating PV System -- 10.4.3.1 Comparison Based on Other Parameters -- 10.5 Conclusion -- References -- Chapter 11 BLDC Motor Driven Water Pumping System Powered by Solar Photovoltaics (PV) -- 11.1 Introduction -- 11.2 Interaction of PV Array and Load -- 11.3 Application of DC-DC Converter for MPPT -- 11.4 Three-Phase BLDC Motor -- 11.5 Simulation of Suggested Technique -- 11.6 Conclusion -- References -- Appendix -- Chapter 12 Hybrid Photovoltaic/PEM Fuel Cell Driven Water Pumping System for Agricultural Application: Overview, Challenges and Future Perspectives -- 12.1 Introduction -- 12.2 Mathematical Modeling -- 12.2.1 PEMFC System -- 12.2.2 PV System -- 12.3 MATLAB/Simulink Study of Hybrid FC/PV Powered Water Pumping System -- 12.4 Electrical Water Pumping System Categories -- 12.5 Challenges of Hybrid PV/PEMFC Technology -- 12.5.1 Challenges of Hydrogen Production and Storage -- 12.5.2 Challenges of the Hybrid PV/PEMFC System Integration -- 12.5.3 Hybrid PV/FC Power System Ignorance and Acceptance -- 12.6 Future Scope of Hybrid PV/PEMFC Water-Pumping Systems -- 12.7 Pros and Cons of Hybrid PV/PEMFC-Powered Water-Pumping System -- 12.8 Conclusion -- References -- Index -- Also of Interest -- EULA. |
| Record Nr. | UNINA-9910876878903321 |
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Husain Mohammed Aslam
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Renewable Power for Sustainable Growth : Proceedings of ICRP 2023 / / edited by Hasmat Malik, Sukumar Mishra, Y. R. Sood, Atif Iqbal, Taha Selim Ustun
| Renewable Power for Sustainable Growth : Proceedings of ICRP 2023 / / edited by Hasmat Malik, Sukumar Mishra, Y. R. Sood, Atif Iqbal, Taha Selim Ustun |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XIX, 1023 p. 564 illus., 441 illus. in color.) |
| Disciplina | 617.51 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electric power production
Electric power distribution Electronic circuits Signal processing Power electronics Electrical Power Engineering Energy Grids and Networks Electronic Circuits and Systems Digital and Analog Signal Processing Power Electronics |
| ISBN | 981-9967-49-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Efficient Algorithm for Energy Management in Smart Grid for Various Improvements -- Investigations and Validation of PV Powered Unified Power Quality Conditioner for Electric Vehicle Smart Charger in Standard AC/DC hybrid microgrid test system -- Microgrid Systems with Classical Primary Control Techniques - A Review -- Green Energy Solutions for Indoor Air Quality Improvement -- Solar rooftop On Grid Connected Net Metering System -- Contemporary Maximum power point tracking methods of solar photovoltaic modules -- Performance Analysis of Perturb & observe and incremental conductance method of Maximum Power Point Tracking in Solar PV based power generation -- Comparative Study on Solar PV Module Performance with Sun Irradiance Trapping Mechanism: Power Gen-eration Forecasting using Machine Learning -- The Geometric Modelling and Linearization of Small-Scale Wind Turbine Blades -- Energy production from various bio-waste under different electrode and temperature conditions: Experimental study -- Simulation and Prototype Design of Hybrid Renewable Energy Harvesting System -- Design and development of an inexpensive intelligent device for sag measurement for overhead transmission lines -- Improvement in Voltage Stability of the System due to Increased Penetration of Electric Vehicles using Distributed Photovoltaic Sources -- An Intelligent System for Furfural Estimation in the Power Transformers -- Optimization of Distributed Generators in a Virtual Power Plan Using Mixed Integer Linear Programming Method -- Solving Unit Commitment Problem Using Mixed Integer Linear Programming for Demand Side Management -- Mixed Reality Accelerates the Designing Process in Automotive Industry -- Modelling and Analysis of a Permanent Magnet DC motor fed Electric Vehicle Drive System -- Design and Development Gear-Electric Bike and Performance Testing for Indian Road Conditions -- Design and Development of a Solar-based Wireless Electric Vehicle Charging System -- Using linear regression model to predict the wholesale of the electric car in Indonesia: What can be learned from the model -- Harmonics Analysis of Triplen-Phase Induction Motor Drive -- Analysis of Three-winding Transformer Configurations for Energy Storage Less Dynamic Voltage Restorer -- Controlling methods of Brushless DC Motor in Electrical Vehicle Drives -- Use of Solar Energy in Treatment of Pulp and Paper Industry Effluent with Hemp- An Experimental Study -- Hybrid Waste to Energy Electricity Generation and Battery Storage System, the Economics and Environmental Emission in a Low Income Community -- Deep Image Coding in the Fractional Wavelet Transform domain based on High Frequency Sub-Bands Prediction -- An approach for renewable-energy-source-selection based on ambiguous intuitionistic fuzzy information -- Artificial intelligence-Based Bearing Fault Diagnosis of Rotating Machine to Improve the Safety of Power System -- Performance Analysis of Grid Integrated Solar System Through Interlinking Converter With Control Schemes -- Effectiveness of Resilience Index in Assessing Power System Performance. |
| Record Nr. | UNINA-9910799229803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems : Novel Methods for Condition Monitoring and Diagnostics / / edited by Hasmat Malik, Atif Iqbal, Amit Kumar Yadav
| Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems : Novel Methods for Condition Monitoring and Diagnostics / / edited by Hasmat Malik, Atif Iqbal, Amit Kumar Yadav |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (499 p.) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Machine learning Machinery Control engineering Robotics Mechatronics Computational Intelligence Machine Learning Machinery and Machine Elements Control, Robotics, Mechatronics |
| ISBN | 981-15-1532-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Fault Tolerant Control of Single and Multiple Mobile Robots -- Faults and Fault Detection Methods in Electric Drives -- Introduction to Condition Monitoring of Wide Area Monitoring (WAM) System -- Introduction to Condition Monitoring of Electrical Systems -- Condition Monitoring and Fault Detection and Diagnostics of Wind Energy Conversion System (WECS) -- Introduction to Condition Monitoring of PV system -- Novel Application of Artificial Neural Network techniques for Prediction of Air Pollutants using Stochastic Variables for Health Monitoring: A review -- Performance Enhancement and Extension of DGA Based Transformer Fault Diagnosis Methods Using Soft-computing Techniques -- Maximum Power Extraction and Monitoring from Wind Power Generation System Using Intelligent Controllers -- Data Driven Intelligent Model for Sales Prices Prediction and Monitoring of a Building -- Experimental Study of Sideband Harmonics in Vibration Spectrum of two Stage Planetary Gear Box for Condition Monitoring. |
| Record Nr. | UNINA-9910484077803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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