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Found 4 papers, 4 papers with code
An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control
Heating, Ventilation, and Air Conditioning (HVAC) systems are a major driver of energy consumption in commercial and residential buildings.
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification
The ever-growing use of wind energy makes necessary the optimization of turbine operations through pitch angle controllers and their maintenance with early fault detection.
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
We propose a new 'Bi-Reduced Space' approach to solving 3D Variational Data Assimilation using Convolutional Autoencoders.
Characterizing Political Fake News in Twitter by its Meta-Data
This article presents a preliminary approach towards characterizing political fake news on Twitter through the analysis of their meta-data.
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