• DocumentCode
    2482048
  • Title

    Applicability of neural networks to industrial and commercial power systems: a tutorial overview

  • Author

    Halpin, Mark S. ; Burch, Reuben F., IV

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
  • fYear
    1996
  • fDate
    6-9 May 1996
  • Firstpage
    75
  • Lastpage
    81
  • Abstract
    This paper is intended as a tutorial overview of neural network applications that are relevant to industrial and commercial power systems. The paper is arranged to provide the practicing engineer with answers to the following questions: (1) Why would a neural network be needed? (2) What is required to use a neural network? (3) How are neural networks superior to conventional methods? and (4) What type of results are produced by neural networks? Introductory knowledge needed for understanding the application of artificial neural networks is provided and numerous example applications are referenced. The paper is purposefully written without “state-of-the-art” terminology for the benefit of practicing engineers in facilities today who may not be familiar with neural networks. This paper is expected to be the first in a series that will provide a similar presentation of expert and fuzzy logic systems
  • Keywords
    industrial power systems; neural nets; power engineering computing; commercial power systems; industrial power systems; neural networks; tutorial overview; Admittance; Artificial neural networks; Control systems; Fuzzy logic; Humans; Industrial power systems; Intelligent systems; Neural networks; Power engineering and energy; Tutorial;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Commercial Power Systems Technical Conference, 1996. Conference Record, Papers Presented at the 1996 Annual Meeting., IEEE 1996
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-7803-3263-6
  • Type

    conf

  • DOI
    10.1109/ICPS.1996.533939
  • Filename
    533939