Results 11 to 20 of about 1,701,375 (322)
Distributed Anomaly Detection in Smart Grids: A Federated Learning-Based Approach
IEEE Access, 2023 The smart grid integrates Information and Communication Technologies (ICT) into the traditional power grid to manage the generation, distribution, and consumption of electrical energy. Despite its many advantages, it faces significant challenges, such as
J. Jithish +3 more
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Electronics, 2023 With the assistance of machine learning, difficult tasks can be completed entirely on their own. In a smart grid (SG), computers and mobile devices may make it easier to control the interior temperature, monitor security, and perform routine maintenance.
Tehseen Mazhar +8 more
semanticscholar +1 more source
A Real-Time Method to Estimate the Operational Condition of Distribution Transformers
Energies, 2022 In this article, an unsupervised learning method is presented with the objective of modeling, in real-time, the main operating modes (OM) of distribution transformers.
Leandro José Duarte +2 more
doaj +1 more source
Blockchain and Machine Learning for Future Smart Grids: A Review
Energies, 2023 Developments such as the increasing electrical energy demand, growth of renewable energy sources, cyber–physical security threats, increased penetration of electric vehicles (EVs), and unpredictable behavior of prosumers and EV users pose a range of ...
Vidya Krishnan Mololoth +2 more
semanticscholar +1 more source
A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook
Energies, 2022 Swift population growth and rising demand for energy in the 21st century have resulted in considerable efforts to make the electrical grid more intelligent and responsive to accommodate consumers’ needs better while enhancing the reliability and ...
A. Goudarzi +4 more
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Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach
IEEE Transactions on Smart Grid, 2021 The dependence on advanced information and communication technology increases the vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data injection attacks (FDIAs) reveals the high risk of secure system operation ...
Ying Zhang, Jianhui Wang, Bo Chen
semanticscholar +1 more source
Control and Optimisation of Power Grids Using Smart Meter Data: A Review
Italian National Conference on Sensors, 2023 This paper provides a comprehensive review of the applications of smart meters in the control and optimisation of power grids to support a smooth energy transition towards the renewable energy future.
Zhiyi Chen +3 more
semanticscholar +1 more source
International Transactions on Electrical Energy Systems, 2023 Integration of large-scale distributed photovoltaic (PV) generation resources can lead to technical challenges, particularly voltage rise caused by PVs power injection at the time of high solar radiation profile and low load demand.
Anju Yadav +4 more
doaj +1 more source
Journal of Modern Power Systems and Clean Energy, 2023 In this paper, the synchronization stability challenges of same-rated frequency interconnected microgrids (IMGs) with fully inverter-based generation units are studied.
Mobin Naderi +3 more
doaj +1 more source
Cyber Threats to Smart Grids: Review, Taxonomy, Potential Solutions, and Future Directions
Energies, 2022 Smart Grids (SGs) are governed by advanced computing, control technologies, and networking infrastructure. However, compromised cybersecurity of the smart grid not only affects the security of existing energy systems but also directly impacts national ...
Jianguo Ding +4 more
semanticscholar +1 more source