Fr. 96.00

Clustering in Power Systems. Applications

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

The analysis of data represents the starting point for many applications in the power systems, either in the design phase, either in operation for on-line control. The need to extend the capabilities of human analysis for to handle the overwhelming quantity of data that we are able to collect has become vital. The ability of human operators to manually analyse large databases is far exceeded. Since computers have enabled the possibility of storing large amounts of data, it is natural to resort to computational techniques to help us to discover meaningful patterns and linkages between variables. This book is essentially devoted to using of the clustering techniques in optimal operation and planning of power systems. Numerous problems are treated and clustering based solutions are proposed. These problems are referred at: profiling load and consumers' classification, peak load estimation, power/energy losses estimation, analyse of slow voltage variations, distributed generation, the assessment of the renewable energy potential, coordination between distribution generation sources, human errors monitoring, voltage control, and optimal placement of phase measurements units.

Product details

Authors Bogdan-Constantin Neagu, Florin Scarlatache, Florina Scarlatache
Assisted by Gheorgh Grigoras (Editor), Gheorghe Grigoras (Editor)
Publisher LAP Lambert Academic Publishing
 
Languages English
Product format Paperback / Softback
Released 01.01.2016
 
EAN 9783330015456
ISBN 978-3-33-001545-6
No. of pages 264
Subject Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.