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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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OF THE WORK PROGRAMME AND TRAINING: 1) Development of workflows and algorithms to complement datasets of connected data spaces, to improve analysis results (forecasting, analysis of financial tools, predictive
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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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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
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optimizations, such as new data caching algorithms. Develop a prototype that integrates the optimizations and experimentally evaluate the prototype.; Integrate the optimizations with a new modular and flexible I
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that provides AI-based suggestions. The work will consist in the improvement and evolution of previously developed models, as well as interacting with project partners to integrate algorithms and conduct field
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; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - develop new modules to enable the simulation and/or experimentation of emerging wireless
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workplan: ; - Develop the research skills through the application of the selected methods ; - Apply the scientific method on the research process and a critical attitude on the obtained results.; 3. BRIEF
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. Specifically, the work to be developed should propose a new design and implement a proof-of-concept prototype for an efficient and persistent write-ahead logging system for key-value stores. The proposed