Due to the complexity, and heterogeneity of the smart grid and the high volume of information to be processed, artificial intelligence techniques and computational intelligence appear to be some of the enabling technologies for its future development and success. The theme of the book is “Making pathway for the grid of future” with the emphasis on trends in Smart Grid, renewable interconnection issues, planning-operation-control and reliability of grid, real time monitoring and protection, market, distributed generation and power distribution issues, power electronics applications, computer-IT and signal processing applications, power apparatus, power engineering education and industry-institute collaboration. The primary objective of the book is to review the current state of the art of the most relevant artificial intelligence techniques applied to the different issues that arise in the smart grid development.
Inhaltsverzeichnis
Chapter 1 Fractional order PID controller optimized by SCA for solar system
Chapter 2 LVRT Capability Improvement in a Grid Connected DFIG Wind Turbine System Using Neural Network Based Dynamic Voltage Restorer
Chapter 3 Detection and Classification of Power Quality Events Using Wavelet Energy Difference and Support Vector Machine
Chapter 4 PMSM Drive Using Predictive Current Control Technique For HVAC Applications
Chapter 5 Grid Connected 5k W Mono-crystalline Solar PV System
Chapter 6 An add-in Tool for BIM-based Electrical Load forecast for Multi-building Microgrid Design.
Chapter 7 An investigation on Torque Ripple minimization of Switched Reluctance Motor using Different Power Converter Topologies using Intelligent Techniques
Chapter 8 Design of Half-ring MIMO antenna to reduce the mutual coupling
Chapter 9 Optimal Allocation of Distributed Generation using Clustered Firefly Algorithm
Chapter 10 CDM Based Two Degree of Freedom PID Controller Tuning Rules for Unstable FOPTD Processes
Chapter 11 Real Time Energy Management System for Solar-Wind-Battery fed Base Transceiver Station
Chapter 12 IOT Based Adaptive Protection of Microgrid
Chapter 13 Performance Comparison between Sensor and Sensorless Control of Permanent Magnet Synchronous Motor with Wide Speed Range of Operations
Chapter 14 Passive Fault Tolerant Control Based on Interval Type-2 Fuzzy Controller for Coupled Tank System
Chapter 15 Enhanced Isolated Boost DC-DC Converter with Reduced Number of Switches
Chapter 16 Harmonic Intensity Reduction Technique for Three Phase VSI Drive through Double Randomness
Chapter 17 PV Based Multilevel Inverter Fed Three Phase Induction Motor with Improved Time and Speed of Response
Chapter 18 Adaptive Disturbance Observers for Building Thermal Model
Chapter 19 HTSA Optimized PID based MPPT for Solar PV System
Chapter 20 Performance Analysis of UFMC system with Different Proto Type Filters for 5G Communication
Chapter 21 Fully Convolved Neural Network Based Retinal Vessel Segmentation With Entropy Loss Function
Chapter 22 Solar Power Forecasting Using Adaptive Curve Fitting Algorithm
Chapter 23 A Review on Electric Vehicle Technologies
Chapter 24 Gabor Filter Based Tonsillitis analysis using Vhdl
Chapter 25 Incorporation of Modified Second Order Adaptive Filter in MFGCI for Harmonic Mitigation of Micro Grid
Chapter 26 Optimal DAU Placement for Smart Distribution Grid Communication Network
Chapter 27 Long – Term Forecasting of Hybrid Renewable Energy Potential using Weibull Distribution Method in Coimbatore
Chapter 28 Efficient and Improved ANN Based Voltage Rise Mitigation Strategy In Distribution Network with Distributed Solar Photovoltaic System
Chapter 29 Control of Buck Converter by Fuzzy Controller for Wind Energy – Battery System
Chapter 30 A Survey on Secure Beam forming in MIMO-NOMA Based Cognitive Radio Network
Chapter 31 Hybrid Optimization of Cuckoo Search and Differential Evolution Algorithm for Privacy Preserving Data Mining
Chapter 32 Using Sliding Window Algorithm for Rainfall Forecasting
Chapter 33 Air Pollution Level Estimation in Smart Cities using Machine Learning Algorithms
Chapter 34 Implicit Continuous User Authentication Using Swipe Actions on Mobile Touch Screen with ANN Classifier
Chapter 35 A Review on Graph Analytics Based Approaches In Protein- Protein Interaction Network
Chapter 36 Survey on emotion detection using EEG signals
Chapter 37 A Smart Agricultural Model Using Io T, Mobile and Cloud-based Predictive Data Analytics
Chapter 38 Machine Translation using Deep Learning – A Comparison
Chapter 39 Societal Impact of Framework for Energy Efficient Clustering Algorithms in Mobile Wireless Sensor Networks
Chapter 40 Energy Demand Prediction using Linear Regression
Chapter 41 Risk Prediction Analysis of Cardiovascular Disease Using Supervised Machine Learning Techniques
Chapter 42 Safest Secure and Consistent Data Services in the Storage of Cloud Computing
Chapter 43 Supply Chain Management enabled by Internet of Things and Microservices
Chapter 44 Production and characterizations of bio-fertilizer from tree leaves utilizing automated hot composting chamber with cyber-physical systems
Chapter 45 Spectrum Sensing Based On Cascaded Approach for Cognitive Radio
Chapter 46 Remote Process Monitoring and Control through IIo T
Chapter 47 CBR (Case Based Reasoning) based Smart Indoor Navigation
Chapter 48 A Survey on Medical Image Registration Using Deep Learning Techniques
Chapter 49 Agent Based Temperature Monitoring System
Chapter 50 Classification Of Phonemes With EEG
Chapter 51 Attribute Table Based Multipath Routing Protocol To Improve Network Lifetime In Multi-Hop Wsn
Chapter 52 Application of subjective and objective integrated weightage (SOIW) MADM method for decision making in Distribution System
Chapter 53 Natural Images Visual Importance Identification Using Location Based Feature Selection Saliency Map
Chapter 54 Missing Values and Class Prediction Based on Mutual Information and Supervised Similarity
Chapter 55 Fake Product Review Detection and Removal Using Opinion Mining Through Machine Learning
Chapter 56 Ask less — Scale Market Research without Annoying Your Customers
Chapter 57 Preferential Resource Selection and Scheduling of Cloud Resources pivot on Value of Information
Chapter 58 A survey on Supervised and Unsupervised Learning Techniques
Chapter 59 Performance Study of IPv6/IPv4 MANET (64MANET) Architecture
Chapter 60 Internet of Things – A Technical Perspective Survey
Chapter 61 Analysis On Dghv and Ntru Fully Homomorphic Encryption Schemes
Chapter 62 Automated Image Captioning for Flickr8K Dataset
Chapter 63 RAk EL Algorithm and Mahalanobis Distance based Intrusion Detection System against Network Intrusions
Chapter 64 Vaguely Node Classification Scheme For Wireless Networks to Design an Intrusion Detection System
Chapter 65 Dynamic Traffic Light Scheduling for Emergency Vehicles using Fog Computing
Chapter 66 Cloud Database – A Technical Review
Chapter 67 Projection of Population and Prediction of Food Demand through Mining and Forecasting Techniques
Chapter 68 Detection of Hairline Fracture Foot using Canny Operator and Wavelet Packet Transform
Chapter 69 Image Encryption Then Compression System For Secure Transmission Via Hybrid Henon Chaotic Map
Chapter 70 Analysis of primary Emulsion attack in cognitive radio Using distributed on demand routing protocol
Chapter 71 Heart Disease Prediction Using Retinal Fundus Image
Chapter 72 Blind Speech Enhancement Using Adaptive Algorithms
Chapter 73 Android Malware Detection
Chapter 74 Test Data Compression Methods: A Review
Chapter 75 Piripori – Morphological Analyser for Tamil
Chapter 76 A Comprehensive Survey on Strategies In Multi-Core Architectures, Design Considerations, And Challenges
Chapter 77 Blockchain based e-Voting as a Service
Chapter 78 Optimum Resource Allocation Techniques for Enhancing Quality of Service Parameters in Cloud Environment
Chapter 79 MIPGIOT-Monitoring and Improving the Productivity in Garment Unit Using IOT
Chapter 80 Text and Audio Transfer Using LI-FI Technology
Chapter 81 Hyper spectral Image Segmentation using Evolutionary Multi-factorial Spectral Analysis for OMEGA Dataset
Chapter 82 Novel Lifting Filter Bank for Bird call Analysis
Chapter 83 Automatic Classification of Solid Waste using Deep Learning
Chapter 84 Relevancy and Similarity Aware Drug Comment Classification Framework on Social Media Drug Posts
Chapter 85 Enhanced Particle Swarm Optimization with Genetic Algorithm and Modified Artificial Neural Network for Efficient Feature Selection in Big Data Stream Mining
Chapter 86 Feature Selection Techniques for E-Mail Spam Classification – A Survey
Chapter 87 Why Feature Selection in Data Mining is Prominent? – A Survey.
Über den Autor
Dr. L. Ashok Kumar was a Postdoctoral Research Fellow from San Diego State University, California. He is a recipient of the BHAVAN fellowship from the Indo-US Science and Technology Forum and SYST Fellowship from DST, Govt. of India. His current research focuses on integration of Renewable Energy Systems In the Smart Grid and Wearable Electronics. He has 3 years of industrial experience and 19 years of academic and research experience. He has published 187 technical papers in International and National journals and presented 197 papers in National and International Conferences. He has completed 27 Government of India funded projects, and currently 7 projects are in progress. His Ph D work on wearable electronics earned him a National Award from ISTE, and he has received 24 awards on the national level. Ashok Kumar has seven patents to his credit. He has guided 98 graduate and postgraduate projects. He is a member and in prestigious positions in various national forums. He has visited many countries for institute industry collaboration and as a keynote speaker. He has been an invited speaker in 178 programs. Also he has organized 79 events, including conferences, workshops, and seminars. He completed his graduate program in Electrical and Electronics Engineering from University of Madras and his post-graduate from PSG College of Technology, India, and Masters in Business Administration from IGNOU, New Delhi. After completion of his graduate degree, he joined as project engineer for Serval Paper Boards Ltd., Coimbatore (now ITC Unit, Kovai). Presently he is working as a Professor and Associate Ho D in the Department of EEE, PSG College of Technology and also doing research work in Wearable Electronics, Smart Grid, solar PV, and Wind Energy Systems. He is also a Certified Charted Engineer and BSI Certified ISO 500001 2008 Lead Auditor. He has authored the following books in his areas of interest (1) Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®, CRC Press, (2) Solar PV and Wind Energy Conversion Systems—An Introduction to Theory, Modeling with MATLAB/SIMULINK, and the Role of Soft Computing Techniques—Green Energy and Technology, Springer, USA, (3) Electronics in Textiles and Clothing: Design, Products and Applications, CRC Press, (4) Power Electronics with MATLAB, Cambridge University Press, London, (5) Automation In Textile Machinery: Instrumentation And Control System Design Principles – CRC Press, Taylor & Francis Group, USA, ISBN 9781498781930, April 2018, (6) Monograph on Smart Textiles, (7) Monograph on Information Technology for Textiles, and (8) Monograph on Instrumentation & Textile Control Engineering. (8) Computational Paradigm Techniques for Enhancing Electric Power Quality, CRC Press, Taylor & Francis Group, USA, ISBN 9781138336995, November 2018.L.S. Jayashree is currently serving as a Professor of Computer Science and Engineering department of PSG College of Technology, Tamilnadu, India. She is a fellow of the Institution of Engineers (India) and senior member of IEEE. She is also an active member of other professional bodies like ACM, CSI, CSTA etc. She has also been conferred with a few prestigious best project awards including the INAE award for Innovative Project Potential. She has so far published more than 200 papers in refereed journals and conference proceedings of national and international level. Her research papers have been abstracted and indexed in ACM, IEEE Xplore, SCI, SCI-E, Scopus, Thomson Reuters, Cite Seer, Scopus etc. Her areas of expertise include Mobile and Wireless networking technologies, Wireless sensor networks, Io T based systems and Applied Soft computing. She has chaired several sessions of national and international conferences and is a recognized reviewer of a few peer-reviewed international journals including Elsevier, Inderscience, Wiley Blackwell etc.
R. Manimegalai has earned her Ph D in the Department of Computer Science and Engineering at IIT Madras, India. She is also an alumnus of PSG Tech., Coimbatore, and College of Engineering Guindy, Anna University, where she has completed her B.E. (CSE) and M.E. (CSE) respectively. She has more than twenty years of industry, research and teaching experience. She has worked as a software engineer with DCM Technologies, New Delhi and Team Lead in Xilinx Technologies, Hyderabad. Before joining PSG Tech, she has served in various educational institutions, with different capacities, as Dean, Director and Principal and has contributed to various aspects of teaching-learning and accreditation process. She holds membership in several professional societies such as Fellow in Institution of Engineers India (IEI), Senior Member in Computer Society of India (CSI), ISTE, IEEE, ACM and VLSI society of India. Her areas of interest include Security in Distributed, Embedded and Io T Systems and VLSI / FPGA Algorithms. She has widely published in journals and conferences and is guiding several Ph D research scholars through Anna University, Chennai.
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