In the framework of competitive markets, the market’s participants need energy price forecasts in order to determine their ...

In today’s deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected ...

The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ...

The k-Nearest Neighbor algorithm (k-NN) uses a classification criterion that depends on the parameter k. Usually, the value ...

The process of determining whether a power system is in a secure or insecure state is a crucial task which must be addressed ...

This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to ...