By Topic

Intelligent monitoring and forecasting of the expected operating conditions of electric power system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Tomin, N.V. ; Electr. Power Syst. Dept., SB RAS, Irkutsk, Russia

One of the most important problems in the modern power industry of focus is the organization intelligent monitoring conditions and their control with the use of new forecasting methods, especially methods of artificial intelligence. The paper presents original intelligent methods and approaches to solve the problems of monitoring and forecasting of the expected EPS operating conditions, namely: the hybrid approach to short-term forecasting of the expected state variables on the basis of combined application of artificial neural networks and Hilbert-Huang transform and the approach to monitoring and forecasting of heavy load and/or emergency conditions on the basis of modern methods of adaptive clustering and factor analysis.

Published in:

Energetics (IYCE), Proceedings of the 2011 3rd International Youth Conference on

Date of Conference:

7-9 July 2011