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at scale raises privacy and real hardware constraint concerns. This PhD will focus on those challenges by developing a distributed, privacy-preserving NILM framework, so we can move from small research
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-to-design mapping, mixture density networks or MDN-based inverse generators will be employed to capture the multimodal distribution of the design space, enabling flexible inverse design sampling based
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theory and real-world applications, supporting the UK’s transition towards a renewable, inverter-based power system. The project is funded by Scottish and Southern Electricity Networks (SSEN) and you will
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real-world applications, supporting the UK’s transition towards a renewable, inverter-based power system. The project is funded by Scottish and Southern Electricity Networks (SSEN) and you will work