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dynamics at the niche and national levels. Understanding transformative co-evolutionary (social and technical) energy system change necessitates a move beyond mono-disciplinary and interdisciplinary
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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