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Artificial Intelligence-based smart power systems / edited by Sanjeevikumar Padmanaban, Sivaraman Palanisamy, Sharmeela Chenniappan, Jens Bo Holm-Nielsen

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc, [2023]Description: 1 Online-Ressource (xxii, 378 pages) : illustrations (chiefly color)ISBN:
  • 9781119893981
  • 1119893984
  • 9781119893974
  • 1119893976
  • 9781119893998
  • 1119893992
Subject(s): Additional physical formats: 9781119893967. | 1119893968. | 9781119893967 | Erscheint auch als: Artificial Intelligence-based smart power systems. Druck-Ausgabe. Hoboken, New Jersey : Wiley, [2023]DDC classification:
  • 621.381/044028563
LOC classification:
  • TK3105
Online resources: Summary: "In the modern world, power distribution systems, microgrids, and electric vehicles have become absolute necessities due to various reasons. Smart power systems require more sophistication in operation and control. To achieve that sophistication, most of the loads in smart power systems are power electronics-based. However, this produces power quality problems like harmonics, flicker, etc. Power quality conditioners are essential to enhance the power quality in smart power systems. Hardware-in-the-loop (HIL)-based simulation is used to model smart power systems"--PPN: PPN: 188263795XPackage identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
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