Model-Based Transfer Learning Framework for Time Series Analysis: A Field Application to HVAC Units

Design of a Model-Based Transfer Learning Framework for Time Series Analysis: a guideline for the application of knowledge transfer for time series data and its application to an use-case related to HVAC units. Development of a step-by-step framework collecting the most effective techniques for effectively leveraging information from possible source domains to a specific target domain with limited knowledge. Application to HVAC anomaly detection under conditions of low availability of data.