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47 та иш

Иш: 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

    Китоб20057 иқтибос
    ABI

  2. Probabilistic Approach for System Identification using Machine Learning

    Shokhjakhon Abdufattokhov, Behzod Muhiddinov

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

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

    Juš Kocijan

    Китоб20156 иқтибос
    ABI

  4. Advances in neural information processing systems 7

    Krzysztof J. Cios, Mark E. Shields

    Мақола19975 иқтибос
    ABI

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

    Keith Thompson

    Диссертация20095 иқтибос
    ABI

  6. Derivative Observations in Gaussian Process Models of Dynamic Systems

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

    Мақола20025 иқтибос
    ABI

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

    Shokhjakhon Abdufattokhov, Kamila Ibragimova, Dilfuza Gulyamova +58

    МақолаFault Detection and Control SystemsInternational Journal of Emerging Trends in Engineering Research20204 иқтибос
    ABI

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

    Shokhjakhon Abdufattokhov, Kamila Ibragimova, Dilfuza Gulyamova

    БобSolar Radiation and PhotovoltaicsLecture notes on data engineering and communications technologies20223 иқтибос
    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

    Мақола20183 иқтибос
    ABI

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

    Yang Liu, Wang Wei, Noradin Ghadimi

    Мақола20173 иқтибос
    ABI

  11. Thermal comfort: Analysis and applications in environmental engineering

    Мақола19723 иқтибос
    ABI

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

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

    Шарҳ мақола20213 иқтибос
    ABI

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

    Xu Hong, Yuan He, Xiang Sun +2

    Мақола20193 иқтибос
    ABI

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

    Radiša Jovanović, Aleksandra Sretenović, Branislav Živković

    Мақола20153 иқтибос
    ABI

  15. Journal of Ambient Intelligence and Humanized Computing

    J Ambient, Intell Human Comput, Jihad Hamie +5

    Бошқа20133 иқтибос
    ABI

  16. Arabian Journal for Science and Engineering

    Бошқа20132 иқтибос
    ABI

  17. Proceedings of IEEE Conference on Control Applications 2004

    Lars F. S. Larsen, Claus Thybo

    Мақола20042 иқтибос
    ABI

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

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

    Боб20162 иқтибос
    ABI

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

    Abdul Afram, Farrokh Janabi‐Sharifi

    Шарҳ мақола20132 иқтибос
    ABI

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

    Yu‐Hsiang Hsiao

    Мақола20142 иқтибос
    ABI

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

    K. Ažman, Juš Kocijan

    Мақола20072 иқтибос
    ABI

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

    Anastasios I. Dounis, C. Caraiscos

    Мақола20082 иқтибос
    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

    Мақола20152 иқтибос
    ABI

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

    Edward Halawa, Joost van Hoof

    Мақола20122 иқтибос
    ABI

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

    Jian Liang, Ruxu Du

    Мақола20052 иқтибос
    ABI