We propose an anomaly detection method that uses a normal distribution. We then describe an experiment using 24 solar panels into which pseudo-faults were�...
Therefore, herein, we propose an anomaly detection method that uses a normal distribution. We then describe an experiment using 24 solar panels into which�...
Today, no suitable PV diagnostics tool is available for the PV industry that provides accurate and reliable information on defects in an automated manner.
Jun 30, 2024 � This study aimed to develop an advanced anomaly-detection system tailored for solar power distribution panels using thermal imaging cameras�...
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May 15, 2024 � This paper proposes several regression-based methods to predict PV plants' energy generation, which is useful for detecting transient and long-term anomalies.
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The comparison spans various categories, including the number of images with anomalies, data normalization procedures, temperature ranges, wind speed conditions�...
The smallest unit in a PV system is a cell, which is able to convert solar energy into electricity, generating 1 or 2 watts of power. Connecting the PV cells�...
Anomaly detection of solar power generation systems based on the normalization of the amount of generated electricity. In Proc. IEEE 29th International�...
Oct 31, 2023 � In this paper, we propose a network packet-based anomaly detection system for the Programmable Logic Controller (PLC) of the inverter, an essential system of�...
Sep 16, 2024 � This study leverages advanced machine learning techniques to detect anomalies in solar power generation data, focusing on key meteorological variables.