This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Avionics data at the National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL) consists of distributed, unmanaged, and heterogeneous information tha...
The increasing power of modern computers steadily opens up new application domains for advanced data processing such as engineering and knowledge-based applications. To meet their...
Abstract— We present a method for performing mode classification of real-time streams of GPS surface position data. Our approach has two parts: an algorithm for robust, unconstr...
Robert Granat, Galip Aydin, Marlon E. Pierce, Zhig...