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31 ta ish

Ish: Predictive and probabilistic modelling using machine learning for building indoor climate control

  1. Modelling and Control of Dynamic Systems Using Gaussian Process Models

    Juš Kocijan

    Kitob20156 iqtibos
    ABI
  2. Implementation of gaussian process models for non-linear system identification

    Keith Thompson

    Dissertatsiya20095 iqtibos
    ABI
  3. Thermal comfort: Analysis and applications in environmental engineering

    Maqola19723 iqtibos
    ABI
  4. Application of Gaussian processes for black-box modelling of biosystems

    K. Ažman, Juš Kocijan

    Maqola20072 iqtibos
    ABI
  5. The adaptive approach to thermal comfort: A critical overview

    Edward Halawa, Joost van Hoof

    Maqola20122 iqtibos
    ABI
  6. Thermal comfort control based on neural network for HVAC application

    Jian Liang, Ruxu Du

    Maqola20052 iqtibos
    ABI
  7. A data-driven approach for steam load prediction in buildings

    Andrew Kusiak, Mingyang Li, Zijun Zhang

    Maqola20092 iqtibos
    ABI
  8. Predictive Control for Linear and Hybrid Systems

    Francesco Borrelli, Alberto Bemporad, Manfred Morari

    Kitob20172 iqtibos
    ABI