Modelling, Power Transformers, Data Mining
-Analysis of use cases and definition of the specific goals and requisites (e.g., what data should be used) -Collect data and perform pre-processing (e.g., remove noise, damaged data...) -Describe the data from the power transformers sensors (e.g., through statistical descriptors) -Study the underlying physical models (e.g., electrical model, mechanical model) -Create empirical models using Neural Networks or methods that are more suitable. -Combine physical models with empirical models and yield hybrid models. -Create/adapt the hybrid models for incremental operations and data streams. -Adapt these behaviours models to possible data-driven services. It is also predicted the collaboration in lectures activities.
Master Degree in Electrical or Informatics Engineering or similar.
Minimum profile required
Experience in knowledge management in organizations; Fluency in the english language, (spoken and written). Be approved in absolute merit with an average equal or greater than 60.
Since 26 Jul 2021 to 10 Aug 2021
Cluster / Centre
Computer Science / Artificial Intelligence and Decision Support