APS failures can lead to operational disruptions and high maintenance costs. This dataset categorizes failures into APS-related (positive class) and non-APS-related (negative class) failures. The goal ...
The first step is equipping the utility's most critical assets with the right technologies to leverage predictive maintenance models, even if in some cases it means retrofitting This provides the ...
Tool for managing clusters of receding horizon controllers on CPU. Aimed at facilitating the implementation of the training phase of Reinforcement Learning-based Model Predictive Control policies.
The integrated model demonstrates potential to transform maintenance practices, enabling a data-driven, strategic approach that enhances the performance and sustainability of urban high-rise buildings ...