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  1. Python‐based scikit‐learn machine learning models for thermal

    Aug 23, 2021 · The four machine learning regression models—linear regression, k-nearest neighbors, random forest, and decision tree—were developed using the scikit-learn library in …

  2. wkirgsn/thermal-nn: Thermal Neural Networks - GitHub

    In this work, the thermal neural network (TNN) is introduced, which unifies both, consolidated knowledge in the form of heat-transfer-based LPTNs, and data-driven nonlinear function …

  3. Batteries temperature prediction and thermal management using machine

    Nov 1, 2023 · In a comprehensive study, various machine learning methods and neural networks used in battery temperature prediction and thermal management are analyzed and discussed …

  4. Machine Learning-Based Temperature Prediction for Runtime Thermal

    Jul 28, 2017 · In this paper we present a framework for creating a lightweight thermal prediction system suitable for run-time management decisions. We pursue two avenues to explore …

  5. Python‐based scikit‐learn machine learning models for thermal

    Aug 23, 2021 · In a comprehensive study, various machine learning methods and neural networks used in battery temperature prediction and thermal management are analyzed and discussed …

  6. Assessing the implementation of machine learning models for thermal

    The data treatment was realised by using the programming language Python, especially the ML module called Scikit-learn [Citation 38], which enables the user to train and test all kind of ML …

  7. In this report we will investigate the use of Python to support state-of-charge estimation, diagnostic, and system optimization challenges. Through using Python, we improve the battery …

  8. Thermal Systems Modeling by Using Machine Learning Methods

    Feb 10, 2022 · Machine learning methods including artificial neural networks and support vector machines are powerful tools for precise modeling of complex systems.

  9. ework for creating a lightweight thermal prediction system suitable for run-time management decisions. We pursue two a. enues to explore optimized lightweight thermal predictors. First, …

  10. GitHub - steffenschroe/Thermca: Thermal simulation in python

    A Python framework to analyse the thermal behaviour of a wide range of applications, including technical devices, buildings and nature. What can it do? It supports analyses of transient …

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