Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

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Connection looseness detection of steel grid structures using piezoceramic transducers by Shi Yan, Weiling Liu, Gangbing Song, Putian Zhao, Shuai Zhang

“…The goal of this article is to propose an evaluation method for bolt-sphere joint looseness of steel grid structures using piezoceramic guided wave–based method through experiments and numerical simulations. …”
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Cybersecurity of smart grids: Comparison of machine learning approaches training for anomaly detection by S. V. Kochergin, S. V. Artemova, A. A. Bakaev, E. S. Mityakov, Zh. G. Vegera, E. A. Maksimova

“…The comparison of machine learning methods reveals the varying effectiveness of anomaly detection methods used to detect cyber threats and deviations in electrical systems. …”
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Quantum-enhanced beetle swarm optimized ELM for high-dimensional smart grid intrusion detection by Na Cheng, Shuqing Wang, Lihong Zhao, Yan Hu

“…Abstract This study proposes a novel smart grid intrusion detection model, combining a quantum-enhanced beetle swarm optimization algorithm with extreme learning machine (QBOA-ELM), with the aim of improving detection accuracy, efficiency, and robustness. …”
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An AI explained systematic modular approach for enhanced Electricity Theft Detection for urbanized Smart Grid environment by Muhammad Ammar, Nadeem Javaid, Ali Arishi

“…The results show that the well-constructed SATBlend model is effective in improving the detection of electricity theft while strengthening SG’s operational and infrastructure capabilities.…”
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DOG: An Object Detection Adversarial Attack Method by Jinpeng Li, Xiaoyu Ji, Wenyuan Xu, Yushi Cheng

“…This study presents an object detection adversarial attack method (DOG) based on the dynamic optimization of a multi-scale feature grid cluster, aimed at addressing the challenges of poor transferability in white-box attacks and long generation cycles in black-box attacks within the current adversarial example generation techniques. …”
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A Method for Assessment of Power Consumption Change in Distribution Grid Branch After Consumer Load Change by Marius Saunoris, Julius Šaltanis, Robertas Lukočius, Vytautas Daunoras, Kasparas Zulonas, Evaldas Vaičiukynas, Žilvinas Nakutis

“…The problem is relevant for power preservation law-based event-driven methods aiming for detection of anomalies like meter errors, electricity thefts, etc. …”
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The Electric Network Frequency Based Method of Forensic Audio Analysis by A. A. Bessonov, A. G. Boyarov, M. V. Stepanov

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Novel Hybrid Islanding Detection Technique Based on Digital Lock-In Amplifier by Muhammad Noman Ashraf, Abdul Shakoor Akram, Woojin Choi

“…Islanding detection remains a critical challenge for grid-connected distributed generation systems, as passive techniques suffer from inherent non-detection zones (NDZ), and active methods often degrade power quality. …”
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Detection and Localization of False Data Injection Attacks in Smart Grids Applying an Interpretable Fuzzy Genetic Machine Learning/Data Mining Approach by Marian B. Gorzałczany, Filip Rudziński

“…In this paper, we consider the problem of accurate, transparent, and interpretable detection, as well as the localization of false data injection attacks (FDIAs) in smart grids. …”
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Electricity Losses in Focus: Detection and Reduction Strategies—State of the Art by Daniela F. Niste, Radu Tîrnovan, Sorin Pavel, Horia Beleiu, Cziker Andrei, Marius Misaroș

“…To this end, two primary analytical approaches have been devised, providing a foundation for the prioritization of the most effective detection methods for each loss category, as well as the most recent findings in the literature on reducing these losses. …”
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Fast Islanding Detection for Distribution System including PV using Multi-Model Decision Tree Algorithm by Rasool Ebrahimi, Ghazanfar Shahgholian, Bahador Fani

“…Modern distribution system including Distributed Generation (DG) requires reliable and fast islanding detection algorithms in order to determine the grid status. …”
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An Operation State Detection Method of DC Grounding Electrodes Based on Surface Potential Distribution by Yuan Jiang, Jing Zhou, Zhanlong Zhang, Yihua Dan, Hao Wu

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Research on new energy power plant network traffic anomaly detection method based on EMD by Danni Liu, Shengda Wang, YutongLi, Ji Du, Jia Li

“…The incorporation of these state-of-the-art convolutional methods into the CNN-GRU model enhances detection capabilities and opens up new avenues for exploration in the realm of anomaly detection based on deep learning. …”
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An Automatic Potentiometric Titration Testing Method for Active Chlorine Content Detection in the Phosphate Ester Fire-Resistant Fluids by Julan MING, Hengchang XU, Hongling ZHONG, Lujing YU, Haiyan LI, Zhiying PAN, Xiaoming SHEN

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Enhancing Frequency Event Detection in Power Systems Using Two Optimization Methods with Variable Weighted Metrics by Hussain A. Alghamdi, Midrar A. Adham, Umar Farooq, Robert B. Bass

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Intelligent recognition and sustainable security protection strategies for abnormal behavior of power grid operation data based on multidimensional digital portrait and deep neural... by Qingqing Ren, Wanqing Kang, Xuehui Yang, Qingpeng Wang, Qiang Huang

“…Abstract Traditional methods for identifying abnormal behavior in the power grid typically rely on fixed rules and single-dimensional data analysis, making it difficult to meet the anomaly detection requirements in complex and changing power grid operation (PGO) environments, and unable to effectively ensure the safety of the power grid, limiting their effectiveness in complex environments. …”
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Comparative Analysis of the Performance of Gridded Precipitation Products Over Iran by Ali Gorjizadeh, Ali Moridi

“…The result show that over annual and daily scale PERSIANN-CDR product outperforms, and over daily scale PERSIANN-CDR and CHIRPS products perform well compared to ERA5 and PERSIANN products. The CHIRPS and PERSIANN-CDR products deliver reliable and useful ability of precipitation detection comparing to other products.…”
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A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

“…Bidirectional wireless communication is employed in various smart grid components such as smart meters and control and monitoring applications where security is vital. …”
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Research on Low-Profile Directional Flexible Antenna with 3D Coplanar Waveguide for Partial Discharge Detection by Yan Mi, Wentao Liu, Yiqin Peng, Lei Deng, Benxiang Shu, Xiaopeng Wang, Songyuan Li

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