Sort by
Refine Your Search
-
Listed
-
Field
-
on artificial intelligence (AI) for energy systems and electrical grids - Execution of functional tests to validate the safety and robustness features of AI, taking into account the data-driven nature of AI and
-
industry needs. One of the laboratories involved is the x-Energy Lab – SmartGrids and Electric Vehicles Laboratory, part of INESC TEC’s Centre for Power and Energy Systems.; It is in this context that INESC
-
industry needs. One of the laboratories involved is the x-Energy Lab – SmartGrids and Electric Vehicles Laboratory, part of INESC TEC’s Centre for Power and Energy Systems.; It is in this context that INESC
-
on artificial intelligence (AI) for energy systems and electrical grids ; - Execution of functional tests to validate the safety and robustness features of AI, taking into account the data-driven nature of AI and
-
) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Deepen the understanding of the state-of-the-art in hypervision applied to the operation of electricity
-
and validation in a laboratory context 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: State-of-the-art analysis of hybrid AC/DC microgrid architectures applicable to ships. This work also
-
TEC. 2. OBJECTIVES: This project aims to compare advanced GANs for tabular data with open-source LLMs that can run on local computers. The goal is to see their strengths, differences, and how well
-
are:; - Developing energy consumption forecasting tools based on real data.; - Applying these tools to a use case.; - Writing reports and articles for international conferences and journals using the new models and
-
; - exercise critical thinking in evaluating the research process and the results obtained.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Write a summary article on the state of the art in DevOps
-
insurance, supported by INESC TEC. 2. OBJECTIVES: Over the years, large-scale infrastructures have been developed to support high computing performance without worrying about energy consumption. With