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benchmark chemometric and physics-informed machine learning models to monitor, forecast, and ultimately control critical process parameters, implanting these models in advanced control frameworks to optimize
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into visions and scenarios for the energy transition Mapping/visualising Indigenous knowledge of climate and weather to support energy forecasting and planning More broadly, applicants are encouraged
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. Potential application domains include gesture recognition, human activity recognition, energy forecasting (e.g., demand, supply, flexibility) in smart grids, etc. You will publish scientific articles related
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acquired knowledges. Potential application domains include gesture recognition, human activity recognition, energy forecasting (e.g., demand, supply, flexibility) in smart grids, etc. You will publish
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models or image generation, have recently also taken the atmospheric dynamics and weather forecast communities by storm. At the same time, due to anthropogenetic climate change, society faces elevated risk
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
(TRL), validation, and the transfer of scientific results in key thematic areas of the Associate Laboratory, namely Energy, Transport, Space and Defence Technologies, and Resilient Industry
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increasingly rely on scenarios, models, forecasts, roadmaps, and other forms of anticipatory knowledge when making decisions about energy systems, infrastructure, industrial development, and technological change