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Development and Performance Analysis of Hybrid Communication Technology for Advanced Metering Infrastructure System

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... For the provision of these services, it is crucial to properly acquire meter data from power meters. However, although the current AMI system has guaranteed stable performance in overhead power lines via the continuous improvement of the domestic power line communication (PLC) technology and meter reading procedures, difficulties are experienced in securing stable meter reading performances for underground lines, in which noise and attenuation are severe [8]. Consequently, the monthly and daily meter reading success rates are approximately 98% and 95%, respectively, which are both on the low side. ...
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With the expansion of advanced metering infrastructure (AMI) installations, various additional services using AMI data have emerged. However, some data is lost in the communication process of data collection. Hence, to address this challenge, the estimation of the missing data is required. To estimate the missing values in the time-series data generated from smart meters, we investigated four methods, ranging from a conventional method to an estimation method applying long short-term memory (LSTM), which exhibits excellent performance in the time-series field, and provided the performance comparison data. Furthermore, because power usages represent estimates of data that are missing some values in the middle, rather than regular time-series estimation data, the simple estimation may lead to an error where the estimated accumulated power usage in the missing data is larger than the real accumulated power usage appearing in the data after the end of the missing data interval. Therefore, this study proposes a hybrid method that combines the advantages of the linear interpolation method and the LSTM estimation-based compensation method, rather than those of conventional methods adopted in the time-series field. The performance of the proposed method is more stable and better than that of other methods.
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