Cantitate/Preț
Produs
Total produse
Vezi coșul
Data Analytics for Smart Grids Applications—A Key to Smart City Development de Devendra Kumar Sharma

Data Analytics for Smart Grids Applications—A Key to Smart City Development: Intelligent Systems Reference Library, cartea 247

Editat de Devendra Kumar Sharma, Rohit Sharma, Gwanggil Jeon, Raghvendra Kumar
en Limba Engleză Hardback – 30 noi 2023

ABORDAREA PRACTICĂ: Data Analytics for Smart Grids Applications—A Key to Smart City Development reușește să echilibreze fundamentul teoretic al volumelor mari de date cu necesitățile tehnice de implementare în rețelele electrice moderne. Observăm o structură riguroasă care pornește de la caracterizarea fluxurilor de date și ajunge la soluții de nișă, precum utilizarea învățării prin ranforsare (Multi-Agent Q-Learning) pentru optimizarea micro-rețelelor. Această tranziție de la concept la cod este esențială pentru inginerii care caută nu doar să înțeleagă fenomenele, ci să dezvolte sisteme capabile să gestioneze date eterogene provenite din surse multiple, de la senzori purtabili la sisteme de informații geografice (GIS).

Ca și Rajkumar Viral în Big Data Analytics Framework for Smart Grids, autorii distilează experiență reală în principii acționabile, oferind o perspectivă clară asupra modului în care analytics-ul transformă distribuția energiei. În contextul operei editorilor, acest volum continuă direcțiile explorate în Intelligent and Soft Computing, unde accentul cădea pe sistemele software inteligente, însă aici focusul se mută decisiv către infrastructura critică și orașele inteligente. Dacă în Low Power Architectures for IoT Applications se punea problema eficienței la nivel de hardware, în lucrarea de față descoperim cum procesarea inteligentă la nivel de sistem poate compensa limitările tehnice actuale.

Organizarea cărții indică o progresie logică: de la direcții viitoare și recenzii ale stadiului actual al tehnologiei, la studii de caz specifice privind Smart Metering-ul și predicția fluxurilor. Această abordare modulară permite cititorului să navigheze rapid către soluții de inteligență artificială aplicate direct în managementul rețelelor, făcând din acest volum un instrument de referință în seria Intelligent Systems Reference Library.

Citește tot Restrânge

Din seria Intelligent Systems Reference Library

Preț: 102207 lei

Preț vechi: 127758 lei
-20%

Puncte Express: 1533

Carte disponibilă

Livrare economică 05-19 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783031460913
ISBN-10: 303146091X
Pagini: 451
Ilustrații: XXVI, 451 p. 178 illus., 165 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.95 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Cham, Switzerland

De ce să citești această carte

Această carte se adresează inginerilor de sistem, cercetătorilor și specialiștilor în baze de date care doresc să implementeze soluții de analytics în sectorul energetic. Cititorul câștigă o înțelegere profundă a modului în care Machine Learning și tehnologiile semantice pot fi utilizate pentru a crește eficiența rețelelor electrice, transformând datele brute din smart city în decizii operaționale fundamentate.

Despre autor

Echipa de editori, condusă de Devendra Kumar Sharma și Rohit Sharma, reunește experți recunoscuți în ingineria sistemelor inteligente și telecomunicații. Cu o experiență vastă documentată în volume precum Micro-Electronics and Telecommunication Engineering, aceștia s-au specializat în integrarea tehnologiilor emergente — precum 5G, IoT și Inteligența Artificială — în aplicații industriale complexe. Expertiza lor colectivă acoperă întregul spectru de procesare a semnalelor și date masive, fiind contributori constanți la conferințe internaționale de prestigiu din domeniul rețelelor de comunicare de generație următoare.

Descriere scurtă

This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.

Cuprins

Data Analytics For Smart Grids And Applications - Present And Future Directions.- Design, Optimization and Performance Analysis of Microgrids using Multi-Agent Q-Learning.- Big Data Analytics for Smart Grid: A Review on State-of- Art Techniques and Future Directions.- Smart Grid Management for Smart City Infrastructure using Wearable Sensors.- Studies on Conventional and Advanced Machine Learning Algorithm towards Framing of Robust Data analytics for the Smart Grid Application.- Prediction and Classification For Smart Grid Applications.- A Review on Smart Metering Using Artificial Intelligence and Machine Learning Techniques: Challenges and Solutions.

Notă biografică

Dr. D. K. Sharma is a Professor and Dean of SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad. He received his B.E degree in Electronics Engineering from MNNIT Allahabad, M.E degree from IIT Roorkee, and Ph.D degree from NIT Kurukshetra, India. He served Public Sector Undertakings in different positions in Quality Assurance & Testing and R & D departments. He has rich experience of more than 30 years in academia and industry. He has authored several research articles in international journals and conference proceedings and has been the editor of international conference proceedings and books. He has participated in many international and national conferences as session chair and member in steering, advisory and international program committees. His research interests include VLSI interconnects, QCA based circuits, Digital design, and Signal processing. He is Life member of ISTE, Life member of IETE and Senior Member of IEEE.
   
Dr. Rohit Sharma is currently an Associate Professor in the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi NCR Campus Ghaziabad, India. He is an active member of ISTE, IEEE, ICS, IAENG, and IACSIT. He is an editorial board member and reviewer of more than 12 international journals and conferences, including the topmost journal IEEE Access and IEEE Internet of Things Journal.  He serves as a Book Editor for 23 different titles to be published by CRC Press, Taylor & Francis Group, USA and Apple Academic Press, CRC Press, Taylor & Francis Group, USA, Springer, etc. He received the Young Researcher Award in "2nd Global Outreach Research and Education Summit & Awards 2019" hosted by Global Outreach Research & Education Association (GOREA). He is serving as Guest Editor in various SCIE indexed journals of Elsevier, CEE, IET Communications Willey, Expert Systems Wiley etc. He has activelybeen an organizing end of various reputed International conferences.
 
Prof. Gwanggil Jeon received the B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively. From 2009.09 to 2011.08, he was with the School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, as a post-doctoral fellow. From 2011.09 to 2012.02, he was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an assistant professor. From 2014.12 to 2015.02 and 2015.06 to 2015.07, he was a visiting scholar at Centre de Mathématiques et Leurs Applications (CMLA), École Normale Supérieure Paris-Saclay (ENS-Cachan), France. From 2019 to 2020, he was a prestigious visiting professor at Dipartimento di Informatica, Università degli Studi di Milano Statale, Italy. He is currently a full professor at Incheon National University, Incheon, Korea.
 
Dr. Raghvendra Kumar is working as Associate Professor in Computer Science and Engineering Department at G.I.E.T University Odisha, India, and Serving as Director of IT and Data Science Department, Vietnam Center of Research in Economics, Management, Environment (VCREME) - Branch VCREME One Member Company Limited, Vietnam. He received B. Tech. in Computer Science and Engineering from SRM University Chennai (Tamil Nadu), India, M. Tech. in Computer Science and Engineering from KIIT University, Bhubaneswar, (Odisha) India and Ph.D. in Computer Science and Engineering from Jodhpur National University, Jodhpur (Rajasthan), India. He serves as Series Editor Internet of Everything (IOE): Security and Privacy Paradigm publishes by CRC press, Taylor & Francis Group, USA and Bio-Medical Engineering: Techniques and Applications, Publishes by Apple Academic Press, CRC Press, Taylor & Francis Group, USA.