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Machine Learning, Advances in Computing, Renewable Energy and Communication : Proceedings of MARC 2020



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Autore: Tomar Anuradha Visualizza persona
Titolo: Machine Learning, Advances in Computing, Renewable Energy and Communication : Proceedings of MARC 2020 Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2021
©2022
Descrizione fisica: 1 online resource (650 pages)
Soggetto genere / forma: Electronic books.
Altri autori: MalikHasmat  
KumarPramod  
IqbalAtif  
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
Titolo autorizzato: Machine Learning, Advances in Computing, Renewable Energy and Communication  Visualizza cluster
ISBN: 981-16-2354-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910497095803321
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Serie: Lecture Notes in Electrical Engineering Ser.