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47 ta ish

Ish: Supervisory optimal control using machine learning for building thermal comfort

  1. Gaussian Processes for Machine Learning

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

    Kitob20057 iqtibos
    ABI

  2. Probabilistic Approach for System Identification using Machine Learning

    Shokhjakhon Abdufattokhov, Behzod Muhiddinov

    MaqolaGaussian Processes and Bayesian Inference2019 International Conference on Information Science and Communications Technologies (ICISCT)20197 iqtibos
    ABI

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

    Juš Kocijan

    Kitob20156 iqtibos
    ABI

  4. Advances in neural information processing systems 7

    Krzysztof J. Cios, Mark E. Shields

    Maqola19975 iqtibos
    ABI

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

    Keith Thompson

    Dissertatsiya20095 iqtibos
    ABI

  6. Derivative Observations in Gaussian Process Models of Dynamic Systems

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

    Maqola20025 iqtibos
    ABI

  7. Gaussian Processes Regression based Energy System Identification of Manufacturing Process for Model Predictive Control

    Shokhjakhon Abdufattokhov, Kamila Ibragimova, Dilfuza Gulyamova +58

    MaqolaFault Detection and Control SystemsInternational Journal of Emerging Trends in Engineering Research20204 iqtibos
    ABI

  8. The Applicability of Machine Learning Algorithms in Predictive Modeling for Sustainable Energy Management

    Shokhjakhon Abdufattokhov, Kamila Ibragimova, Dilfuza Gulyamova

    BobSolar Radiation and PhotovoltaicsLecture notes on data engineering and communications technologies20223 iqtibos
    ABI

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

    Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli +2

    Maqola20183 iqtibos
    ABI

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

    Yang Liu, Wang Wei, Noradin Ghadimi

    Maqola20173 iqtibos
    ABI

  11. Thermal comfort: Analysis and applications in environmental engineering

    Maqola19723 iqtibos
    ABI

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

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

    Sharh maqola20213 iqtibos
    ABI

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

    Xu Hong, Yuan He, Xiang Sun +2

    Maqola20193 iqtibos
    ABI

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

    Radiša Jovanović, Aleksandra Sretenović, Branislav Živković

    Maqola20153 iqtibos
    ABI

  15. Journal of Ambient Intelligence and Humanized Computing

    J Ambient, Intell Human Comput, Jihad Hamie +5

    Boshqa20133 iqtibos
    ABI

  16. Arabian Journal for Science and Engineering

    Boshqa20132 iqtibos
    ABI

  17. Proceedings of IEEE Conference on Control Applications 2004

    Lars F. S. Larsen, Claus Thybo

    Maqola20042 iqtibos
    ABI

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

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

    Bob20162 iqtibos
    ABI

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

    Abdul Afram, Farrokh Janabi‐Sharifi

    Sharh maqola20132 iqtibos
    ABI

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

    Yu‐Hsiang Hsiao

    Maqola20142 iqtibos
    ABI

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

    K. Ažman, Juš Kocijan

    Maqola20072 iqtibos
    ABI

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

    Anastasios I. Dounis, C. Caraiscos

    Maqola20082 iqtibos
    ABI

  23. 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

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

    Edward Halawa, Joost van Hoof

    Maqola20122 iqtibos
    ABI

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

    Jian Liang, Ruxu Du

    Maqola20052 iqtibos
    ABI