Researchers propose a machine learning model that identifies a new Al–Si–Ru i-QC phase. With the potential for extended applications for identification of other structures like decagonal and ...
Data-driven consumer-phase identification in low-voltage distribution networks considering prosumers
Low-voltage distribution networks (LVDNs) face growing challenges in managing consumer-phase identification (CPI), a critical task for load balancing, maintenance, and integrating behind-the-meter ...
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