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Comprehensive review of reinforcement learning in lung cancer diagnosis and treatment: Taxonomy, challenges and recommendations
Lung cancer (LuC) is one of the leading causes of death in the world, and due to the
complex mechanisms and widespread metastasis, diagnosis and treatment are challenging …
complex mechanisms and widespread metastasis, diagnosis and treatment are challenging …
FLACON: A deep federated transfer learning-enabled transient stability assessment during symmetrical and asymmetrical grid faults
Transient stability assessment (TSA) is critical to the reliable operation of a power system
against severe fault conditions. In practice, TSA based on deep learning is preferable for its …
against severe fault conditions. In practice, TSA based on deep learning is preferable for its …
Oscillation identification and frequency dam** controller design for battery energy storage system using subspace identification
In this paper, a novel method for the identification of oscillatory modes based on subspace
identification is proposed for bulk electric grids integrated with renewable energy resources …
identification is proposed for bulk electric grids integrated with renewable energy resources …
Anomaly Identification for Photovoltaic Power Stations Using a Dual Classification System and Gramian Angular Field Visualization
With the increasing scale of photovoltaic (PV) power stations, timely anomaly detection
through analyzing the PV output power curve is crucial. However, overlooking the impact of …
through analyzing the PV output power curve is crucial. However, overlooking the impact of …
Artificial Intelligence in Power System Security and Stability Analysis: A Comprehensive Review
R Zhang - arxiv preprint arxiv:2408.08914, 2024 - arxiv.org
This review comprehensively examines the integration of artificial intelligence (AI) in
enhancing the dynamic security assessments of modern power systems. It highlights the …
enhancing the dynamic security assessments of modern power systems. It highlights the …
Comparative analysis of Q-learning, SARSA, and deep Q-network for microgrid energy management
The growing integration of renewable energy sources within microgrids necessitates
innovative approaches to optimize energy management. While microgrids offer advantages …
innovative approaches to optimize energy management. While microgrids offer advantages …
Current-Limiting Strategy for Inverters and Protection Against Faults in Microgrid
This paper introduces a novel current-limiting technique for inverter operation, implemented
in the synchronous reference frame (SYRF) and expressed in dq-0 coordinates to effectively …
in the synchronous reference frame (SYRF) and expressed in dq-0 coordinates to effectively …
Voltage Stability Assessment of Nigeria 330 kV Power Grid: A Critical Bus Perspective
Voltage stability issues within Nigeria's 330 kV power grid pose significant risks to the
reliability and efficiency of the power supply, hence, there is the need for urgent …
reliability and efficiency of the power supply, hence, there is the need for urgent …
Leveraging explainable extremely randomized trees model for poisoning attack detection in power grid stability assessment
With the increasing integration of digital technologies and communication networks, the
power grid has become more vulnerable to cyber-attacks. Among these threats, false data …
power grid has become more vulnerable to cyber-attacks. Among these threats, false data …
Advancing Production Systems with Online Reinforcement Learning: Real-time Monitoring, Control, and Optimization
Modern production systems are increasingly complex and variable, requiring adaptive and
intelligent solutions for real-time monitoring and control. Traditional methods, such as linear …
intelligent solutions for real-time monitoring and control. Traditional methods, such as linear …