2023
DOI: 10.1016/j.egyr.2023.05.183
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Non-technical losses detection with Gramian angular field and deep residual network

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“…Gramian angular fields: GAFs have been one of the first approaches used to encode time series for multivariate image analysis [5] and remains the most popular approach for this purpose. Generally, GAF has been used in diverse fields ranging from tool wear classification with CNNs [6] to identification of nontechnical losses in power systems [7], recognition of wearable sensor-based human activity [8], fault detection in transmission lines [9], time series classification with vision transformers [10], and so on.…”
Section: Imaging Of Time Series Datamentioning
confidence: 99%
“…Gramian angular fields: GAFs have been one of the first approaches used to encode time series for multivariate image analysis [5] and remains the most popular approach for this purpose. Generally, GAF has been used in diverse fields ranging from tool wear classification with CNNs [6] to identification of nontechnical losses in power systems [7], recognition of wearable sensor-based human activity [8], fault detection in transmission lines [9], time series classification with vision transformers [10], and so on.…”
Section: Imaging Of Time Series Datamentioning
confidence: 99%