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: Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications
    sub title: AISGSC 2019
  name:
    name part: Kumar, L. Ashok.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Jayashree, L. S.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Manimegalai, R.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2020
    edition: 1st ed. 2020.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XXXI, 963 pages 481 illustrations, 327 illustrations in color.)
  abstract: 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.
  table of contents: 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 5kW 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 -- Cha…
  note: edited by L. Ashok Kumar, L. S. Jayashree, R. Manimegalai.
  subject:
    topic: Power electronics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Renewable energy resources
  subject:
    topic: Electrical engineering
  subject:
    topic: Wireless communication systems
  subject:
    topic: Mobile communication systems
  subject:
    topic: Power Electronics, Electrical Machines and Networks
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Renewable and Green Energy
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Wireless and Mobile Communication
  classification: TK7881.15
  classification: 621.317
  related item:
    title info:
      title: Springer Nature eBook
  identifier: 9783030240516
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 200312
    record change date: 20240805191643.9
    record identifier: in00004380794