Title :
Applicability of neural networks to industrial and commercial power systems: a tutorial overview
Author :
Halpin, S. Mark ; Burch, Reuben F., IV
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
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; learning (artificial intelligence); neural nets; neurocontrollers; power system analysis computing; power system control; commercial power systems; computer simulation; intelligent systems; introductory knowledge; neural network applications; power system operation; training; tutorial overview; Admittance; Artificial neural networks; Humans; Industrial power systems; Intelligent systems; Neural networks; Power engineering and energy; Power systems; Terminology; Tutorial;
Journal_Title :
Industry Applications, IEEE Transactions on