A novel application of rough set theory for reliable two ways reduction of load data set of a power system
K. N. Bhanuprakash, Anjanabhargavi Kulkarni, B. R. Lakshmikantha, K. Thanushkodi, Hari Kumar Naidu · AMERICAN-MATH'10 Proceedings of the 2010 American conference on Applied mathematics · 2010
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.