Now showing items 1-7 of 7

    • A statistical approach for price-optimal plugin electric vehicle charging 

      Delak, Serge A. (Rensselaer Polytechnic Institute, Troy, NY, 2017-05)
      Most of the STAT2 algorithm’s cost savings potential comes from the fact that it operates as a “bang-bang” controller operating on a volatile price signal. However, current RTM price signals do not reflect instantaneous ...
    • Auction design for dynamic spectrum sharing 

      Khaledi, Mehrdad (Rensselaer Polytechnic Institute, Troy, NY, 2016-12)
      Scarcity of the wireless spectrum has become a major problem as a result of the rapid growth in wireless communications. With the proliferation of smart phones and tablets, wireless data more than doubles every year. The ...
    • Compressed sensing for scalable robotic tactile skins 

      Hollis, Brayden (Rensselaer Polytechnic Institute, Troy, NY, 2018-05)
      First, we introduce the open-source tactile skin simulator BubbleTouch for generating tactile data since current tactile skin systems are not widely available to produce data for research. BubbleTouch uses kinematic and ...
    • Data quality monitoring and improvement of synchronized phasor measurements 

      Hao, Yingshuai (Rensselaer Polytechnic Institute, Troy, NY, 2018-12)
      Phasor measurement units (PMU) provide time-synchronized high-resolution measurements at rates from 30 up to 120 samples per second. Since the provided synchrophasor measurements facilitate the wide-area monitoring, ...
    • Machine learning strategies for power systems 

      Douglas, Daniel Jonathon (Rensselaer Polytechnic Institute, Troy, NY, 2021-08)
      As renewable energy penetration into the United States power system continues to increase, maintaining situational awareness of the complex power grid becomes increasingly challenging. Machine learning models developed ...
    • Multistatic passive polarimetric radar imaging 

      Son, Il-Young (Rensselaer Polytechnic Institute, Troy, NY, 2018-12)
      This thesis studies the exploitation of polarimetric diversity in passive radar imaging. To this end, we develop a novel polarimetric data model and show that by exploiting polarimetric diversity, passive radar can better ...
    • Nonconvex regularizers for sparse optimization and rank minimization 

      Sagan, April (Rensselaer Polytechnic Institute, Troy, NY, 2021-05)
      This dissertation addresses the problem of minimizing a nonconvex relaxation to the rank of a matrix. In the first of three works presented in this dissertation, we present the problem of rank minimization as a semidefinite ...