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31 ta ish

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

  1. Gaussian Processes for Machine Learning

    Carl Edward Rasmussen, Carl Edward Rasmussen, Christopher K. I. Williams

    KitobOchiq kirish20057 iqtibos
    ABI

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

    Juš Kocijan

    Kitob20156 iqtibos
    ABI

  3. Implementation of gaussian process models for non-linear system identification

    Keith Thompson

    Dissertatsiya20095 iqtibos
    ABI

  4. Derivative Observations in Gaussian Process Models of Dynamic Systems

    Ercan Solak, Roderick Murray‐Smith, Douglas J. Leith +1

    Maqola20025 iqtibos
    ABI

  5. Stochastic Approach for System Identification using Machine Learning

    Shokhjakhon Abdufattokhov, Behzod Muhiddinov

    MaqolaOchiq kirishGaussian Processes and Bayesian Inference20194 iqtibos
    ABI

  6. Use of model predictive control and weather forecasts for energy efficient building climate control

    Frauke Oldewurtel, Alessandra Parisio, Colin N. Jones +5

    Maqola20114 iqtibos
    ABI

  7. Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities

    Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli +2

    MaqolaOchiq kirish20183 iqtibos
    ABI

  8. Electricity load forecasting by an improved forecast engine for building level consumers

    Yang Liu, Wang Wei, Noradin Ghadimi

    Maqola20173 iqtibos
    ABI

  9. Thermal comfort: Analysis and applications in environmental engineering

    Maqola19723 iqtibos
    ABI

  10. Grey-box modeling and application for building energy simulations - A critical review

    Yanfei Li, Zheng O’Neill, Liang Zhang +3

    Sharh maqola20213 iqtibos
    ABI

  11. Prediction of thermal energy inside smart homes using IoT and classifier ensemble techniques

    Xu Hong, Yuan He, Xiang Sun +2

    Maqola20193 iqtibos
    ABI

  12. Theory and applications of HVAC control systems – A review of model predictive control (MPC)

    Abdul Afram, Farrokh Janabi‐Sharifi

    Sharh maqola20133 iqtibos
    ABI

  13. Ensemble of various neural networks for prediction of heating energy consumption

    Radiša Jovanović, Aleksandra Sretenović, Branislav Živković

    Maqola20153 iqtibos
    ABI

  14. A review of machine learning in building load prediction

    Liang Zhang, Jin Wen, Yanfei Li +4

    Sharh maqola20213 iqtibos
    ABI

  15. Gaussian-Process-Based Demand Forecasting for Predictive Control of Drinking Water Networks

    Ye Wang, Carlos Ocampo‐Martínez, Vicenç Puig +1

    Bob20162 iqtibos
    ABI

  16. Household Electricity Demand Forecast Based on Context Information and User Daily Schedule Analysis From Meter Data

    Yu‐Hsiang Hsiao

    Maqola20142 iqtibos
    ABI

  17. Application of Gaussian processes for black-box modelling of biosystems

    K. Ažman, Juš Kocijan

    Maqola20072 iqtibos
    ABI

  18. Advanced control systems engineering for energy and comfort management in a building environment—A review

    Anastasios I. Dounis, C. Caraiscos

    Maqola20082 iqtibos
    ABI

  19. A data-driven state-space model of indoor thermal sensation using occupant feedback for low-energy buildings

    Xiao Chen, Qian Wang, Jelena Srebric

    Maqola20152 iqtibos
    ABI

  20. The adaptive approach to thermal comfort: A critical overview

    Edward Halawa, Joost van Hoof

    Maqola20122 iqtibos
    ABI

  21. Thermal comfort control based on neural network for HVAC application

    Jian Liang, Ruxu Du

    Maqola20052 iqtibos
    ABI

  22. A data-driven approach for steam load prediction in buildings

    Andrew Kusiak, Mingyang Li, Zijun Zhang

    Maqola20092 iqtibos
    ABI

  23. The Role Of Environmental And Personal Variables In Influencing Thermal Comfort Indices Used In Building Simulation

    Stephanie Gauthier

    Maqola20132 iqtibos
    ABI

  24. Predictive Control for Linear and Hybrid Systems

    Francesco Borrelli, Alberto Bemporad, Manfred Morari

    Kitob20172 iqtibos
    ABI

  25. Data-driven model predictive control using random forests for building energy optimization and climate control

    Francesco Smarra, Achin Jain, Tullio de Rubeis +3

    Maqola20182 iqtibos
    ABI