A novel application of rough set theory for reliable two ways reduction of load data set of a power system

Authors:
K. N. Bhanuprakash;A. D. Kulkarni;B. R. Lakshmikantha;K. Thanushkodi;Hari Kumar Naidu
Affiliations:
Electrical and Electronics Engineering, Visvesvaraya Technological University, Belgaum, Karnataka and Dayananda Sagar College of Engineering, Bangalore, India;Electrical and Electronics Engineering, Visvesvaraya Technological University, Belgaum, Karnataka and National Institute of Engineering Mysore, India;Electrical and Electronics Engineering, Visvesvaraya Technological University, Belgaum, Karnataka and Dayananda Sagar College of Engineering, Bangalore, India;Electrical and Electronics Engineering, Anna University, Coimbatore, Tamil Nadu and Akshaya College of Engineering and Technology, Coimbatore, Tamil Nadu, India;Electrical and Electronics Engineering, Anna University, Coimbatore, Tamil Nadu and Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India
Venue:
AMERICAN-MATH'10 Proceedings of the 2010 American conference on Applied mathematics
Year:
2010

Citing 3
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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.