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Power Engineering and Intelligent Systems de Vivek Shrivastava

Power Engineering and Intelligent Systems: Lecture Notes in Electrical Engineering, cartea 1098

Editat de Vivek Shrivastava, Jagdish Chand Bansal, Bijaya Ketan Panigrahi
en Limba Engleză Hardback – 23 ian 2024

Ne-a atras atenția modul în care volumul Power Engineering and Intelligent Systems reușește să ancoreze cercetarea academică în realități tehnice imediate. Abordarea practică este evidentă prin raportul echilibrat dintre fundamentarea teoretică și studiile de caz aplicate, unde algoritmii de inteligență artificială nu rămân simple concepte, ci devin instrumente de optimizare pentru sisteme energetice complexe. Descoperim aici soluții concrete pentru controlul frecvenței în sistemele de putere cu două zone și modele de regresie Random Forest utilizate pentru estimarea stării de încărcare a bateriilor Li-Ion, detalii esențiale pentru ingineria modernă.

Abordarea diferă de Innovations in Electrical and Electronic Engineering prin concentrarea specifică pe intersecția dintre ingineria de putere și tehnicile de „soft computing”, fiind mai puțin un compendiu generalist și mai mult un ghid aplicabil în integrarea rețelelor inteligente. Dacă în lucrările anterioare ale editorilor, precum Communication and Intelligent Systems sau Signals, Machines and Automation, accentul cădea pe infrastructura de comunicații și automatizări industriale, volumul de față rafinează aceste teme prin prisma sustenabilității și a managementului energiei verzi.

Structura volumului reflectă o progresie logică, de la securitatea mediilor de tip „edge” și „fog computing”, până la analiza performanței sistemelor fotovoltaice în regiuni izolate. Fiecare dintre cele 484 de pagini contribuie la o imagine de ansamblu asupra modului în care procesarea semnalelor și „data science” pot eficientiza distribuția curentului electric. Este o resursă tehnică ce transformă prezentările de la conferința PEIS 2023 într-un instrument de lucru pentru specialiștii care vizează modernizarea infrastructurii energetice.

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Specificații

ISBN-13: 9789819973828
ISBN-10: 9819973821
Pagini: 484
Ilustrații: XII, 472 p. 267 illus., 203 illus. in color.
Dimensiuni: 160 x 241 x 30 mm
Greutate: 0.98 kg
Ediția:1st ed. 2024
Editura: Springer
Colecția Lecture Notes in Electrical Engineering
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

De ce să citești această carte

Această lucrare este esențială pentru inginerii energetici și cercetătorii care doresc să implementeze soluții de inteligență artificială în rețelele electrice. Cititorul câștigă acces la metodologii testate pentru optimizarea sistemelor fotovoltaice și gestionarea bateriilor Li-Ion, primind un set de bune practici derivate din cercetări de ultimă oră prezentate la NIT Delhi. Este un ghid practic pentru tranziția către sisteme energetice inteligente și reziliente.

Despre autor

Volumul este coordonat de un colectiv de editori cu experiență vastă în ingineria electrică și sistemele inteligente. Vivek Shrivastava, Jagdish Chand Bansal și Bijaya Ketan Panigrahi sunt recunoscuți pentru capacitatea de a sintetiza lucrările conferințelor internaționale de prestigiu în volume de referință. Jagdish Chand Bansal are o expertiză consolidată în algoritmi de optimizare, în timp ce Bijaya Ketan Panigrahi este un specialist renumit în rețele inteligente și electronică de putere, contribuțiile lor fiind fundamentale pentru prestigiul seriei Lecture Notes in Electrical Engineering de la Springer.

Descriere scurtă

The book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2023), held during June 24 – –25, 2023, at National Institute of Technology, Delhi, India.

Cuprins

1. A Comprehensive Survey on Security of Single Source Cloud to Distributed Enviroments Edge and Fog Computing.- 2. Load Frequency Control Of A Two Area Power System Using Different Optimization Techniques.- 3. A Comparative Analysis on Various Modified Deep Convolution Neural Networks on Maize Plant Leaf Disease Classification.- 4. State of Charge estimation of Li-Ion Batteries using Random Forest Regression Model with modified Parameters for Multiple Cycles.- 5. Ensemble Learning for Churn Analysis: A Comprehensive Evaluation of Methods.- 6. Performance analysis of Solar PV system for the remote region of State West Bengal, India

Notă biografică

Dr. Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China, and USA. Presently, he is holding the position of Dean Research & Consultancy at National Institute of Technology Delhi. Prior to his academic assignments, he has worked as System Reliability Engineer at SanDisk Semiconductors, Shanghai, China, and USA. Dr. Shrivastava He has significant industrial experience of collaborating with industry and Government government organizations at SanDisk Semiconductors. he He has made significant contribution to the design development of memory products. He has contributed to the development and delivery of Five-Year Integrated B. Tech- M. Tech Programme (Electrical Engineering) and Master programme ( Power Systems) at Gautam Buddha University Greater Noida. He has extensive experience academic administration in various capacity of Dean (Research & Consultancy), Dean (Student Welfare), Faculty In-charge (Training & Placement), Faculty In-charge (Library), Nodal Officer (Academics, TEQIP-III), Nodal Officer RUSA, Experts in various committees in AICTE, UGC, etc...Dr. Shrivastava has carried out research and consultancy and attracted significant funding projects from Ministry of Human Resources & Development, Government of India, Board of Research in Nuclear Science (BRNS) subsidiary organization of Bhabha Atomic Research Organization. Dr. Shrivastava has published over 80 journal articles, and presented papers at conferences, and has published several chapters in books. He has supervised 05 Ph.D. and 16 Masters students, and currently supervising several Ph.D. students. His diversified research interests are in the areas of reliability engineering, renewable energy and conventional power systems which include Windwind, Photovoltaic photovoltaic (PV), Hybrid hybrid Power power Systemssystems, Distributed distributed Generationgeneration, Grid gridIntegration integration of Renewable renewable Energyenergy, Power power Systems systems Analysisanalysis, and Smart smart Gridgrid. Dr Shrivastava is an Editor/Associate Editor of the Journals, International Journal of Swarm Intelligence (IJSI) and International Journal of System Assurance Engineering and Management. He is a fellow of the Institution of Engineers (India), and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).  
Dr. Jagdish Chand Bansal is an Associate Professor (Senior Grade) at South Asian University New Delhi, and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. BansalHe obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an Assistant Professor at ABV—- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary primary area of interest is Swarm swarm Intelligence intelligence and Nature nature-Inspired inspired Optimization optimization Techniquestechniques. Recently, he proposed a fission-fusion social structure structure-based optimization algorithm, Spider spider Monkey monkey Optimization optimization (SMO), which is being applied to various problems in the engineering domain. He has published more than 70 research papers in various international journals/conferences. He is the Section Editor (editorEditor-in-chiefChief) of the journal MethodsX published by Elsevier. He is the sSeries editor Editor of the book series Algorithms for Intelligent Systems (AIS), Studies in Autonomic, Data-driven and Industrial Computing (SADIC), and Innovations in Sustainable Technologies and Computing (ISTC) published by Springer. He is also the Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and  ARRAY published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.  
Bijaya Ketan Panigrahi is a Professor in the Electrical Engineering Department, IIT Delhi, India. Prior to joining IIT Delhi in 2005, he has served as a fFaculty in Electrical Engineering Department, UCE Burla, Odisha, India, from 1992 to 2005. He is a Fellow of INAE, India. His research interest includes application of soft computing and evolutionary computing techniques to power system planning, operation, and control. He has been also working in the field of bio-medical signal processing and image processing. He has served as the eEditorial board Board memberMember, associate Associate editorEditor, and special Special issue Issue guest Guest editor Editor of different international journals. He is also associated with various international conferences in various capacities. He has published more than 100 research papers in various international and national journals.

Caracteristici

Presents research works in the field of power engineering and intelligent systems Provides original works presented at PEIS 2023 Serves as a reference for researchers and practitioners in academia and industry