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Deep Learning Detection of Inaccurate Smart Meters PDF

23 Pages·2021·English
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by ['A K Kashyap']| 2021| 23 pages| English

About Deep Learning Detection of Inaccurate Smart Meters

This document presents a deep learning method to detect inaccurate smart electricity meters using long short-term memory (LSTM) and convolutional neural networks (CNNs). The method collects electricity usage data from submeters and a master meter over time. An LSTM model is used to predict the master meter reading based on historical submeter data. Significant differences between the predicted and actual master meter readings may indicate one or more inaccurate submeters. A CNN model then analyzes submeter time series data to identify and classify individual inaccurate submeters. The method was tested on real smart meter data from two residential areas with promising results for identifying inaccurate meters.

Detailed Information

Author:['A K Kashyap']
Publication Year:2021
Pages:23
Language:English
Format:PDF
Price:FREE
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