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will deliver a model that integrates water quality to predict PFAS behaviour in GAC filters. The model will give water companies a practical tool to forecast GAC bed life under different water qualities
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forecast local generation and demand. To do so, historic local data (e.g., the active buildings in Swansea University) and Met Office data will be used to train and validate the proposed ML model
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of the energy sector and the hydropower industry Hydrological and Hydraulic knowledge and knowledge of hydrological inflow forecasting and tools in the hydropower industry Competencies on IOT, AI, Sensor
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analyzing the degradation state of the hardware, the current energy levels in storage, and external market factors such as fluctuating electricity prices and weather-dependent production forecasts
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with the Portuguese Labour Code 2/7 approved by the Law no. 7/2009 of February 12th, as amended. The contract should have a forecasted duration of 12 months, with the possibility of renewal, and should
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. Overview The global methanol market demand has increased rapidly and is forecasted to grow to over 130 MMT by 2030. Compared to hydrogen and ammonia as low-carbon fuel options for long distance maritime
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, storage, and local electricity grids. A key goal is to translate methodological innovations in deep learning into practical tools for sustainable urban energy systems, supporting applications in forecasting
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conceptualized as a specialized form of anomaly detection. Specifically, the objective is to identify anomalies that evolve gradually and to forecast the time-to-failure with sufficient accuracy. Consequently
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maintenance. Development of machine/deep learning methods to detect fault, provide early warning and reporting, and forecast lifetime trend of batteries, to support predictive maintenance and improve energy
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? As a PhD candidate in the ERC project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a unique opportunity to contribute to the foundations for tomorrow’s machine