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Advances in Control Power Systems and Emerging Technologies : The Proceedings of the International Conference on Electrical Systems and Automation (Volume 2)
Advances in Control Power Systems and Emerging Technologies : The Proceedings of the International Conference on Electrical Systems and Automation (Volume 2)
Autore Bendaoud Mohamed
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (324 pages)
Altri autori (Persone) El FathiAmine
BakhshFarhad Ilahi
PierluigiSiano
Collana Advances in Science, Technology and Innovation Series
ISBN 3-031-51796-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Committees -- Honorary Committee -- General Chairs -- Publication Chairs -- Local Organizing Committee -- Technical Program Committee -- Preface -- Contents -- About the Editors -- Electrical Machines and Power Converters -- Improved Direct Torque Control of Dual Three-Phase Permanent Magnet Synchronous Motor -- 1 Introduction -- 2 Modeling of DTP-PMSM -- 3 Modeling of the Power Supply for DTP-PMSM -- 4 DTC for DTP-PMSM -- 5 Modified Direct Torque Control of the DTP-PMSM -- 6 Simulation Results -- 7 Conclusion -- References -- The Impact of Fitness Functions for Optimal Tuning of PID Controller Applied to DC Motor -- Abstract -- 1 Introduction -- 2 Modeling of the System -- 2.1 Model of Direct Current (DC) Motor -- 2.2 PID Controller Design -- 3 Genetic Algorithm (GA) -- 4 Simulation and Discussion -- 4.1 Testing Using GA with Integral Absolute Error (IAE) -- 4.2 Testing Using GA with Mean Squared Error (MSE) -- 4.3 Testing Using GA with Integral of Time-Weighted Absolute Error (ITAE) -- 5 Conclusion -- References -- Feasibility of a Power and Control System for an Autonomous Photovoltaic Hot Plate Type Cooker (600 Wp) -- Abstract -- 1 Introduction -- 2 Synoptic Diagram of the Overall System -- 2.1 Power Bloc -- 2.2 Control Bloc -- 3 Results and Discussions -- 3.1 Experimental Procedure -- 3.2 Experimenting with the DC/DC Converter -- 3.3 Solar Cooker Application: Water Heating and Oil Heating -- 4 Conclusion -- Acknowledgements -- References -- Comparative Study of Proportional-Integral, Fuzzy Logic, and Neural Fuzzy Logic Controllers for Boost Converter -- Abstract -- 1 Introduction -- 2 Boost Converter Modeling -- 3 Controllers Modeling -- 3.1 Fuzzy Logic Controller (FLC) -- 3.2 Neuro-Fuzzy Controller (NFC) -- 4 Implementation -- 4.1 Simulation -- 4.2 Results of PI Controller -- 4.3 Results of FLC -- 4.4 Results of NFC.
4.5 Discussion -- 5 Conclusion -- References -- Study and Implementation of a Single-Phase H-Bridge Inverter and Development of the MOSFET Gate Driver -- Abstract -- 1 Introduction -- 2 General System Architecture -- 3 System Modeling -- 3.1 DC/AC Converter Modeling -- 3.2 DC/AC Converter Control -- 3.3 Developed MOSFET Gate Driver -- 4 Experimental Results and Simulation -- 4.1 Simulation Results of PWM Control Developed with Dead Time -- 4.2 Experimental Test Bench of the Realization -- 4.3 Gate Driver Circuit for MOSFET Realized -- 4.4 Bridge Design of the DC/AC Converter -- 4.5 Experimental Results and Analysis -- 5 Conclusion -- References -- A New SPWM Approach for High-Performance Single-Phase Half-Bridge Inverters with Pure Sine Wave -- Abstract -- 1 Introduction -- 2 The Suggested Design System and Characterization -- 2.1 Power Circuit Module -- 2.2 LC Filter -- 3 The AVR Phase and Frequency Correct PWM Mode -- 4 Results from Experiments and Simulation -- 4.1 Bipolar PWM Waveforms Developed with Dead Time -- 4.2 Result and Discussion -- 5 Conclusion -- References -- Study and Realization of a Single-Phase Solar Inverter with Harmonics Rejection -- Abstract -- 1 Introduction -- 2 System Modeling -- 2.1 DC-AC Converter Description -- 2.2 Gate Driver for Power MOSFET -- 2.3 PWM Generation Using Microcontroller -- 3 Experimental and Results Analysis -- 4 Conclusion -- References -- High-Power Charger with d-q Control and Conventional Buck Converter for Fast Charging a City Car -- Abstract -- 1 Introduction -- 2 Design and Control of the Proposed Charger -- 2.1 Description of the Proposed Charger -- 2.2 Design and Control of the AC-DC Power Stage -- 2.3 Design and Control of the DC-DC Stage -- 3 Simulations Results -- 4 Conclusion -- References.
An Investigation of Overall Indices' Sensitivity in Detecting Voltage Collapse Proximity in Power Systems -- Abstract -- 1 Introduction -- 2 Overall Indices Inventory -- 2.1 Singular Values of Jacobian Matrix Inverse -- 2.2 Modal Indices -- 2.3 Test Function -- 2.4 Sgp and Sgq Indices -- 3 Assessment of Overall Indices Sensitivity -- 3.1 Test Systems -- 3.2 Load Increasing -- 4 Conclusion -- References -- Design of Switched Capacitor-Based Interfacing Circuit for Lossy Capacitive Sensor in Power System Monitoring -- Abstract -- 1 Introduction -- 2 Switched Capacitor Integrator (SCI) -- 2.1 Parasitic Capacitance (PC) or Stray Capacitance (SC) -- 2.2 Switched Capacitor Integrator (SCI) -- 3 Proposed Interfacing Circuit -- 3.1 Simulation Analysis -- 4 Results and Discussions -- 4.1 Measuring the Pulse Width by Changing the Value of (Cx) for Various Values of Feedback Capacitance (C1) -- 4.2 Graphical Analysis of Observed Datasets -- 5 Conclusions and Future Scopes -- References -- Control Systems and Automation -- State of Charge Estimation of a Lithium-Ion Battery in an Electric Vehicle Using the XGBoost Method -- 1 Introduction -- 2 Method -- 2.1 Extreme Gradient Boosting (XGBoost) -- 3 Results and Discussion -- 4 Conclusion -- References -- Evaluation of Charging Protocols for Lithium-Ion Batteries Using Battery Equivalent Circuit Model -- Abstract -- 1 Introduction -- 2 Battery Equivalent Circuit Model -- 3 Evaluation of Charging Protocols -- 3.1 Simulink System Model -- 3.2 Simulation Results and Discussion -- 4 Conclusion -- References -- The Influence of PVTf on Machine Learning Estimation of IGBT Junction Temperature -- 1 Introduction -- 2 Junction Temperature Estimation Methods -- 2.1 Heat Conduction Models per Unit Length -- 2.2 Statistical Methods -- 2.3 Finite Element Analysis -- 2.4 Machine Learning -- 3 Used Dataset Analysis.
3.1 Correlation -- 4 Experiments with the Used Dataset -- 4.1 Base Case -- 4.2 Linear Regressor -- 4.3 MLP with One and Two Layers -- 4.4 Decision Tree -- 5 Test Results -- 6 Conclusion and Future Works -- References -- Performing ANN Fault Tolerant Control-Based Dynamic Voltage Restorer Over a PV Tied Microgrid in Accordance with the New Moroccan Grid Code Requirements -- Abstract -- 1 Introduction -- 2 Fault Tolerant Approach -- 3 Fault Ride Through in the Moroccan Grid Code -- 4 Proposed Simulated System -- 4.1 Proposed System -- 4.2 PV Plant Model -- 4.3 Dynamic Voltage Restorer Topology -- 4.4 Detailed Controller Diagram -- 5 Simulation Result -- 5.1 PI-Controlled DVR -- 5.2 ANN Controlled DVR -- 5.3 THD Analysis -- 6 Conclusion -- References -- Unmanned Aerial Vehicle Path Planning Algorithms for Very High Voltage Transmission Lines Inspection -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Genetic Algorithm -- 2.2 Ant Colony Optimization Algorithm -- 3 Simulation Results -- 3.1 Scenario 1 Simulations Results -- 3.2 Scenario 2 Simulations Results -- 4 Concluding Remarks and Perspectives -- Acknowledgements -- References -- Continuous Approximation of Stochastic Petri Nets: Adaptive Maximal Firing Speeds -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Petri Nets -- 2.2 Stochastic Petri Nets (SPNs) -- 2.3 Timed Continuous Petri Nets (TCPNs) -- 3 Problem Statement with SPN and Standard Approximation -- 4 Approximation of a SPN by Non-linear TCPN -- 4.1 Definition -- 4.2 Example -- 5 Conclusions -- References -- An Electronic Tool to Differentiate Between Potatoes According to Fertilization Methods -- Abstract -- 1 Introduction -- 2 Material and Methods -- 2.1 Preparation of the Samples -- 2.2 Experimental Setup -- 2.3 The Protocol of Experimental Measurement -- 2.4 Data Analysis -- 3 Results and Discussion.
3.1 Sensors Responses Analysis -- 3.2 Extracting Features -- 3.3 PCA Results -- 3.4 KNN Results -- 4 Conclusion -- References -- Direct Fuzzy Logic Controller Based on Sliding Mode for an Anti-Lock Braking System -- 1 Introduction -- 2 Anti-Lock Braking Model -- 3 Control Approach Proposed -- 4 Simulation Results -- 5 Conclusion -- References -- Time-Delay Sliding Mode Control of the Active Suspension System -- Abstract -- 1 Introduction -- 2 The Active Suspension System Model -- 3 Observer Design -- 4 Sliding Mode Control -- 5 Model Predictive Control -- 6 Sliding Mode Control with Time-Delay Control -- 7 Simulation Results -- 7.1 Sliding Mode Control -- 7.2 Model Predictive Control -- 7.3 SMC with Time-Delay Controller -- 8 Conclusion -- References -- A New Sliding Mode Control Based on Neural Networks for a Single-Rotor Helicopter -- Abstract -- 1 Introduction -- 2 Modeling of the Study System -- 3 Control Strategy -- 3.1 Classical Sliding Mode Control Design -- 3.2 Proposed Control Method Using Artificial Neural Networks -- 4 Simulation Results and Discussions -- 5 Conclusion -- References -- Numerical Simulation of Flow in an Axial Turbojet Engine for Avionics System Design -- Abstract -- 1 Introduction -- 2 Axial Compressor Turbojet -- 2.1 Principle of Operation -- 2.2 Computational Methodology -- 3 Numerical Study -- 3.1 Numerical Methods -- 3.2 Mesh Generation -- 4 Results and Discussion -- 4.1 Graphical Presentation of CFX Results -- 4.2 3D Presentation Concerning the Fluid Domain -- 4.3 3D Presentation Regarding Fluid Velocity Distribution -- 4.4 3D Presentation Regarding the Influence of Temperature -- 4.5 Graphs of Various Parameters as a Function of the Distance Between the Inlet and Outlet of the Stage -- 4.6 Turbine Result -- 5 Conclusions -- References -- Emerging Technologies and Applications.
Machine Learning for Cloud and IoT-Based Smart Agriculture.
Record Nr. UNINA-9910865293503321
Bendaoud Mohamed  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Electrical Systems and Innovative Renewable Energy Techniques [[electronic resource] ] : The Proceedings of the International Conference on Electrical Systems and Automation (Volume 1) / / edited by Mohamed Bendaoud, Amine El Fathi, Farhad Ilahi Bakhsh, Siano Pierluigi
Advances in Electrical Systems and Innovative Renewable Energy Techniques [[electronic resource] ] : The Proceedings of the International Conference on Electrical Systems and Automation (Volume 1) / / edited by Mohamed Bendaoud, Amine El Fathi, Farhad Ilahi Bakhsh, Siano Pierluigi
Autore Bendaoud Mohamed
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (227 pages)
Disciplina 621.042
Altri autori (Persone) El FathiAmine
BakhshFarhad Ilahi
PierluigiSiano
Collana Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development
Soggetto topico Renewable energy sources
Electric power production
Application software
Mathematical physics
Computer simulation
Renewable Energy
Electrical Power Engineering
Computer and Information Systems Applications
Computational Physics and Simulations
ISBN 3-031-49772-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part One: Advances in innovative renewable energy techniques -- 1. Production of hydrogen by photovoltaic using seawater -- 2. A numerical evaluation of the energy potential of waves along Morocco's Atlantic and Mediterranean coast -- 3. Assessment of Bifacial Modules in an AgriVoltaic System installed in Agadir, Morocco -- 4. Numerical analysis of a parabolic trough collector absorber with a Two-Straight-Tubes Exchanger -- 5. Long-Term Investigation of Hybrid System for Building Integration: PTC-Based Heating System and Power Generation (CPV/T) -- 6. Combustion characteristics of biomass pellet fuels in a fixed-bed micro-gasifier cook stove in Senegal -- 7. Deep Learning Approach for Solar Irradiance Forecasting: A Moroccan case study -- 8. PV Power Forecasting Using Deep Learning and Physical Models: Case Study of Morocco -- Part two: Interdisciplinary approaches in renewable energy systems -- 9. PV Modelling and Extracting the Single-DiodeModel Parameters: A Review Study on Analytical and Numerical Methods -- 10. An experimental assessment of the single and double-diode models: possibility of a hybrid approach -- 11. Intelligent PV Fault Detection and Categorization Based on Metaheuristic Algorithm and Feedforward Neural Network -- 12. Detection and Classification of Faults in PV Systems Based on Thermal Imaging and Fuzzy Logic Algorithm -- 13. Integral SMC Strategy for MPPT of the Solar PV System under Varying Climatic Conditions -- 14. Assessing MPPT Techniques for Nanosatellite EPS in Sun-Pointing Orientation: A comparative Study -- 15. A Comparative Study of Various SuDoKu Algorithms for Improvement of Generated Power under Partial Shading Conditions -- 16. Modeling and Control of a Standalone PMSG Wind Generation System to Extract the Maximum Power Based on Direct Power Control -- 17. A Comparative Study of the ADRC and PI Controller of a Wind Turbine Driven by a PMSG -- 18. Theefficiency of fuzzy logic control on the power stabilization of wind turbine -- 19. Optimizing Wind Turbine Control with Sliding Mode and Time Delay Strategies -- Part three: Sizing and management of electrical grid -- 20. Sizing and Simulation of an Alternative Microgrid System -- 21. Sizing Renewable Energy by Using Genetic Algorithm -- 22. Micro-grid design and optimzation using COOT optimization algorithm -- 23. Feasibility study of the design of a floor heating system for the wet rooms of a Hammam using solar photovoltaic -- 24. Grid-tied Energy Management System for hybrid microgrid using advanced-PSO algorithm -- 25. A control strategy for energy cost reduction, peak shaving and power factor correction using batteries -- 26. Robust Deterministic Optimization Approach for Optimal Reactive Energy Management in Electrical Transmission Network -- 27. A comparative study of metaheuristics algorithms applied for optimal reactive power dispatchproblem considering load uncertainty -- 28. Management of battery-hydrogen tank storage system of electric vehicle energy using machine learning classification methods: Comparative Study -- 29. Design and simulation of an intelligent grid-connected MPPT inverter with battery storage using ANN algorithm.
Record Nr. UNINA-9910847580103321
Bendaoud Mohamed  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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-9910861100903321
Husain Mohammed Aslam  
Newark : , : John Wiley & Sons, Incorporated, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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