In this paper, we propose a coherent framework for multi-machine analysis, using group clustering model, which can be utilized predictive maintenance (PdM). The benefits from the repetitive structure posed by multiple machines and enables assessment of health condition, degradation modeling comparison machines. It is based on hierarchical probabilistic denoted Gaussian topic model (GTM), where ...

Business research practice is witnessing a surge in the integration of predictive modeling and prescriptive analysis. We describe framework JANOS that seamlessly integrates two streams analytics, allowing researchers practitioners to embed machine learning models an end-to-end optimization framework. allows for specifying model using standard elements such as constraints variables. The key nove...

Indoor temperature modeling is a crucial part towards efficient Heating, Ventilation and Air Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive way to develop such models due their unique feature of not requiring detailed knowledge about the target zone. However, noisy non-linear nature problem remains bottleneck especially for long prediction horizons. In thi...