The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 89-531
Full Name: Bhanuprakash Khandur Nanjunda Setty
Position: Professor
Age: ON
Sex: Male
Address: Dayananda Sagar College of Engineering
Country: INDIA
Tel: 09986511359
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Fax:
E-mail address: knbhanuprakash@yahoo.com
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Title of the Paper: A novel application of rough set theory for reliable two ways reduction of load data set of a power system
Authors as they appear in the Paper: K.N.Bhanuprakash, A.D. Kulkarni, B.R. Lakshmikantha, K. Thanushkodi, Hari Kumar Naidu
Email addresses of all the authors: knbhanuprakash@yahoo.com, nieadk@gmail.com, lkantha@indiatimes.com, thanush12@gmail.com, cghhar@yahoo.co.in
Number of paper pages: 10
Abstract: The novel technique is introduced of Rough Set Theory to reduce the size of the day wise hourly load consumption data set of a power system. The reduction is achieved in two ways, hour wise as well as day wise. The reduced data set can be useful in diverse power system applications in future such as the inputs for training the Artificial Neural Networks in short term load forecasting and also for data classification and diagnostic operations.
Keywords: Antemeridian, Delta modulation, Quantization, Rough set theory, Reliability; Mean average percentage error forecasting (MAPE).
EXTENSION of the file: .doc
Special (Invited) Session: A Novel Application of Rough Set Theory for Reliable two ways reduction of Load Data Set of a Power System
Organizer of the Session: 629-331
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