Now showing items 1-5 of 5

    • A Decision-Making Auction Algorithm for Demand Response in Microgrids 

      Chang, Chih-Lun; Peng, J. C. -H
      Distributed energy resources installed in the residential areas enable energy consumers to participate in the demand response of distribution systems. In the literature, the algorithms used for the decision-making process ...
    • Adaptive Affinity Propagation with Spectral Angle Mapper for Semi-Supervised Hyperspectral Band Selection 

      Su, Hongjun; Sheng, Yehua; Du, Peijun; Liu, Kui
      Band selection is a commonly used approach for dimensionality reduction in hyperspectral imagery. Affinity propagation (AP), a new clustering algorithm, is addressed in many fields, and it can be used for hyperspectral ...
    • Comparison among ECG Filtering Methods for Non-Linear Noise 

      Patwary, A. B.; Chowdhury, M. T. I.; Mamun, Nursadul
      Electrical functioning of the heart can be translated into a waveform known as Electrocardiography. Perfect diagnosis of heart is very much difficult due to different kinds of noise such as biological signal (EMG), power ...
    • Data Mining with Algorithmic Transparency 

      Zhou, Yan; Alufaisan, Yasmeen; Kantarcioglu, Murat
      In this paper, we investigate whether decision trees can be used to interpret a black-box classifier without knowing the learning algorithm and the training data. Decision trees are known for their transparency and high ...
    • Data-Driven Reduced Order Model for Prediction of Wind Turbine Wakes 

      Iungo, Giacomo V.; Santoni-Ortiz, Christian; Abkar, M.; Porté-Agel, F.; Rotea, Mario A.; Leonardi, Stefano
      In this paper a new paradigm for prediction of wind turbine wakes is proposed, which is based on a reduced order model (ROM) embedded in a Kalman filter. The ROM is evaluated by means of dynamic mode decomposition performed ...