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Power Zone: Artificial Intelligence Educational Modules For Power Engineering

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2001 Annual Conference


Albuquerque, New Mexico

Publication Date

June 24, 2001

Start Date

June 24, 2001

End Date

June 27, 2001



Page Count


Page Numbers

6.785.1 - 6.785.10

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Paper Authors

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Gerald Heydt

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George Karady

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Daniel Tylavsky

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Keith Holbert

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NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Session 2632

PowerZone: Artificial Intelligence Educational Modules for Power Engineering

Keith E. Holbert, Gerald T. Heydt, George G. Karady, Daniel J. Tylavsky Arizona State University


PowerZone is an NSF sponsored Combined Research and Curriculum Development project aimed at improving electric power industry competitiveness. Educational modules centered on artificial intelligence (AI) techniques are introduced into senior-level undergraduate and first- year graduate power engineering courses. Four independent modules are developed including: (1) fuzzy logic for decision making and signal processing, (2) visualization and intelligent systems for electrical power quality studies, (3) short term load forecasting using neural networks and fuzzy logic, and (4) fast simulation through sparsity coding visualization. These modules are being disseminated using the project initiated PowerZone website located at

1. Introduction

Power engineering education has gone through a tortuous history including a golden era of the implementation of electrification (deemed as the top engineering feat of the twentieth century by the National Academy of Engineering [1]), an era of computer applications and control, and most recently a period of restructuring / deregulation. Deregulation of the electric utility industry is forcing most utilities to work harder and smarter. As deregulation takes hold across the country, electric utilities will be (and are being) forced to look at methods that will give them a competitive advantage. To be competitive, utilities need engineers at all levels who are trained to deliver a better product, at a lower cost, with more reliability. The goal of this project is to help improve electric power utility competitiveness by incorporating instructional modules that can be used to train people in these critical areas.

The National Science Foundation (NSF) Combined Research-Curriculum Development (CRCD) Program [2] emphasizes the need to incorporate exciting research advances in important technology areas into the upper-level undergraduate and graduate engineering curricula. The electric power industry is currently in need of instructional modules covering a broad range of topics. This is evidenced by the large number of short courses taught every year on a wide range of practices impacted by deregulation. The instructional modules developed focus on the area of the application of artificial intelligence (AI) and visualization to operation, control and simulation of electric power systems. The modules are largely based on ongoing and/or already completed research by the authors.

Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering Education

Heydt, G., & Karady, G., & Tylavsky, D., & Holbert, K. (2001, June), Power Zone: Artificial Intelligence Educational Modules For Power Engineering Paper presented at 2001 Annual Conference, Albuquerque, New Mexico.

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