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This paper proposes RoPA Manager, an automated system for extracting Records of Processing Activities using hybrid retrieval and locally deployed large language models, evaluated on a Vietnamese benchmark.
This paper presents an automated method to extract quantitative techno-economic data from 76,000 energy system studies, compiling 3.2 million structured data points. The resulting FAIR database enables analysis of literature trends and provides input for energy models.