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This article presents a multi-point collaborative distributed remote calibration model for electricity meters, aiming to enhance scalability and operational efficiency. It introduces a hybrid genetic algorithm for optimizing resource allocation and task scheduling across distributed nodes, demonstrating superior performance compared to existing methods. The findings indicate significant improvements in resource efficiency and scheduling flexibility for remote calibration systems.

Author

bommus.info

Language

EN