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Field
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) Perform predictions, create baselines and develop AI services (including generative AI and Foundational Models) applied to Energy consumption in the domestic and industrial segment.; 3. BRIEF PRESENTATION
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Scientific subarea: Electrical engineering Grant duration: 6 months, starting on 2025-10-13 , with the possibility of being renewed until the end of the project. Scientific advisor: Luís Manuel Pessoa
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laboratory infrastructure.; - Identify and select suitable methods to develop the proposed work plan.; - Develop research skills through the application of the selected methods.; - Apply the scientific method
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cases; • develop and validate physics-/data-driven models (with reduced-order versions); • design sizing and operational optimisation/MPC under tariffs, RES and comfort/process constraints; • integrate
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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
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Systems Grant duration: 4 months, starting on 2025-09-29 , with the possibility of being renewed until the end of the project. Scientific advisor: Miguel Velhote Correia Workplace: INESC TEC, Porto
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library. Collaboration in the development and management of the library repository is also expected.; The main goal is to contribute to the construction of a new storage platform that allows the creation
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, supported by INESC TEC. 2. OBJECTIVES: The main objective of the work to be developed during the grant is the design and implementation of a new benchmarking tool for storage systems. It should allow
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programme of R&D projects geared towards the development and implementation of advanced cybersecurity, artificial intelligence and data science systems in public administration, as well as a scientific
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intelligent surfaces ; - Identification and selection of the most adequate optimization methods to address the proposed workplan: ; - Develop the research skills through the application of the selected methods