rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Internet of energy for smart cities
    sub title: machine learning models and techniques
  name:
    name part: Jindal, Anish
    role:
      role term: editor.
  name:
    name part: Kumar, Neeraj
    name part: (Computer scientist)
    role:
      role term: editor.
  name:
    name part: Aujla, Gagangeet Singh
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2022
    copyright date: 2022
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xx, 302 pages)
  abstract: Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed at Graduate Students, Researchers in Computer Science, Electrical Engineering, Telecommunication Engineering, Internet of Things, Machine Learning, Green computing, Smart Grid, this book: Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions. Points to the solutions provided by machine learning to optimize the grids within a smart city set-up. Discusses relevant IoE design principles and architecture. Helps to automate various services in smart cities for energy management. Includes case studies to show the effectiveness of the discussed schemes.
  note: edited by Anish Jindal, Neeraj Kumar and Gagangeet Singh Aujla.
  note: Includes bibliographical references.
  note: Anish Jindal: Dr. Anish Jindal is working as a Lecturer (Assistant Professor) in the School of Computer Science and Electronic Engineering (CSEE), University of Essex since Mar 2020. Prior to this, he worked as a senior research associate at the School of Computing & Communications, Lancaster University, UK from Oct. 2018 to Mar. 2020. He completed his Ph.D., M.Engg. and B. Tech. degrees in computer science engineering in 2018, 2014, and 2012, respectively. He is the recipient of the Outstanding Ph.D. Dissertation Award, 2019 from the IEEE Technical Committee on Scalable Computing (TCSC) and conferred with the IEEE Communication Society's Outstanding Young Researcher Award for Europe, Middle East, and Africa (EMEA) Region, 2019. He has also been a visiting researcher to OFFIS - Institute for Information Technology, Germany in 2019. His research interests are in the areas of smart cities, data analytics, artificial intelligence, cyber-physical systems, wireless networks, and security. Some of his research findings are published in top-cited journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Vehicular Technology, IEEE Communication Magazine, IEEE Network, Future Generation Computer Systems, and Computer Networks. In addition to it, his research works have also been presented in various conferences of repute such as IEEE ICC, IEEE Globecom, IEEE WiMob, IEEE PES General Meeting, ACM MobiHoc, etc. He has served as General co-chair, TPC co-chair, TPC member, Publicity chair and Session chair of various reputed conferences and workshops including IEEE ICC, IEEE WoWMoM, IEEE INFOCOM and IEEE GLOBECOM. He is also the guest editor of various journals including Software: Practice and Experience (Wiley), Neural Computing & Applications (Springer), Computer Communications (Elsevier), and Computers (MDPI). He has also delivered many invited talks and lectures in various international avenues. He is a mem…
  subject:
    topic: Smart cities
    topic: Technological innovations
  subject:
    topic: Electric power systems
    topic: Automatic control
  subject:
    topic: Electric power distribution
    topic: Data processing
  subject:
    topic: Cities and towns
    topic: Technological innovations
  subject:
    topic: Internet
    topic: Industrial applications
  subject:
    topic: Villes intelligentes
    topic: Innovations
  subject:
    topic: Réseaux électriques (Énergie)
    topic: Commande automatique
  subject:
    topic: Villes
    topic: Innovations
  subject:
    topic: Internet
    topic: Applications industrielles
  subject:
    topic: COMPUTERS
    topic: Machine Theory
  subject:
    topic: COMPUTERS
    topic: Networking
    topic: General
  subject:
    topic: TECHNOLOGY
    topic: Electricity
  subject:
    topic: Electric power distribution
    topic: Data processing
  subject:
    topic: Electric power systems
    topic: Automatic control
  subject:
    topic: Internet
    topic: Industrial applications
  classification: TD159.4 .I58 2022
  classification: 307.760285
  classification: 621.3102854678
  related item:
    identifier: (OCoLC)1235415986
  identifier: 9781000411003
  identifier: 1000411001
  identifier: 9781000410983
  identifier: 1000410986
  identifier: 9781003047315
  identifier: 1003047319
  identifier: 0367497751
  identifier: 9780367497750
  identifier: 9781003047315 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 210616
    record change date: 20241108170045.8
    record identifier: in00005526293
    language of cataloging:
      language term: eng