Browsing NTNU Open by Author "Johra, Hicham"
Now showing items 1-4 of 4
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Control-Oriented Deep Neural Networks for Building Dynamics Prediction
Chaudhary, Gaurav (Doctoral theses at NTNU;2025:17, Doctoral thesis, 2025) -
Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder – Decoder
Chaudhary, Gaurav; Johra, Hicham; Georges, Laurent Francis Ghislain; Austbø, Bjørn (Journal article; Peer reviewed, 2023)Hybrid ventilation is an energy-efficient solution to provide fresh air for most climates, given that it has a reliable control system. To operate such systems optimally, a high-fidelity control-oriented modesl is required. ... -
pymodconn: A python package for developing modular sequence-to-sequence control-oriented deep neural networks
Chaudhary, Gaurav; Johra, Hicham; Georges, Laurent Francis Ghislain; Austbø, Bjørn (Peer reviewed; Journal article, 2023)This paper introduces "pymodconn", a comprehensive python package developed for constructing modular sequence-to-sequence control-oriented deep neural networks. These deep neural networks (DNNs) are designed to predict the ... -
Synconn_build: A python based synthetic dataset generator for testing and validating control-oriented neural networks for building dynamics prediction
Chaudhary, Gaurav; Johra, Hicham; Georges, Laurent Francis Ghislain; Austbø, Bjørn (Peer reviewed; Journal article, 2023)Applying model-based predictive control in buildings requires a control-oriented model capable of learning how various control actions influence building dynamics, such as indoor air temperature and energy use. However, ...