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Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operations

IEEE transactions on power systems, 2020-01, Vol.35 (1), p.814-817

2020

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Intelligent Classification of Silicon Photovoltaic Cell Defects Based on Eddy Current Thermography and Convolution Neural Network

IEEE transactions on industrial informatics, 2020-10, Vol.16 (10), p.6242-6251

2020

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Impacts of microplastics on organotins’ photodegradation in aquatic environments

Environmental pollution (1987), 2020-12, Vol.267, p.115686, Article 115686

2020

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A Novel Method of Fault Location for Single-Phase Microgrids

IEEE transactions on smart grid, 2016-03, Vol.7 (2), p.915-925

2016

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Adaptive decentralized output-constrained control of single-bus DC microgrids

IEEE/CAA journal of automatica sinica, 2019-03, Vol.6 (2), p.424-432

2019

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Accurate Power Sharing and Synthetic Inertia Control for DC Building Microgrids With Guaranteed Performance

IEEE access, 2019, Vol.7, p.63698-63708

2019

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Deep learning-based immunohistochemical estimation of breast cancer via ultrasound image applications

Frontiers in oncology, 2024-01, Vol.13, p.1263685-1263685

2024

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Anti-Interference Deep Visual Identification Method for Fault Localization of Transformer Using a Winding Model

Sensors (Basel, Switzerland), 2019-09, Vol.19 (19), p.4153

2019

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Event-triggered and self-triggered wide-area damping control designs under uncertainties

Transactions of the Institute of Measurement and Control, 2018-04, Vol.40 (7), p.2259-2269

2018

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A Deep Parallel Diagnostic Method for Transformer Dissolved Gas Analysis

Applied sciences, 2020-02, Vol.10 (4), p.1329

2020

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Distributed control of multiple-bus microgrid with paralleled distributed generators

IEEE/CAA journal of automatica sinica, 2019-05, Vol.6 (3), p.676-684

2019

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Advances in Imaging in Evaluating the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer

Frontiers in oncology, 2022-05, Vol.12, p.816297-816297

2022

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Application of improved grey model residual modified fusion algorithm in dissolved gas forecasting

Journal of engineering (Stevenage, England), 2019-12, Vol.2019 (23), p.9128-9132

2019

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Active power correction strategies based on deep reinforcement learning-part I: A simulation-driven solution for robustness

CSEE Journal of Power and Energy Systems, 2022-07, Vol.8 (4), p.1122-1133

2022

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Fault localization on transformer winding by frequency response analysis and evidential reasoning

Journal of engineering (Stevenage, England), 2019-12, Vol.2019 (23), p.9079-9082

2019

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Active power correction strategies based on deep reinforcement learning — part II: A distributed solution for adaptability

CSEE Journal of Power and Energy Systems, 2022-07, Vol.8 (4), p.1134-1144

2022

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Hilbert ID Considering Multi-Window Feature Extraction for Transformer Deep Vision Fault Positioning

IEEE access, 2020, Vol.8, p.91276-91286

2020

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Intelligent Localization of Transformer Internal Degradations Combining Deep Convolutional Neural Networks and Image Segmentation

IEEE access, 2019, Vol.7, p.62705-62720

2019

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Q-Learning-Based Damping Control of Wide-Area Power Systems Under Cyber Uncertainties

IEEE transactions on smart grid, 2018-11, Vol.9 (6), p.6408-6418

2018

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A Deep Reinforcement Learning-Based Multi-Agent Framework to Enhance Power System Resilience Using Shunt Resources

IEEE transactions on power systems, 2021-11, Vol.36 (6), p.5525-5536

2021

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A Data-Driven Multi-Agent Autonomous Voltage Control Framework Using Deep Reinforcement Learning

IEEE transactions on power systems, 2020-11, Vol.35 (6), p.4644-4654

2020

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Decentralized High-Performance Control of DC Microgrids

IEEE transactions on smart grid, 2019-05, Vol.10 (3), p.3355-3363

2019

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ROS-mediated photoaging pathways of nano- and micro-plastic particles under UV irradiation

Water research (Oxford), 2022-06, Vol.216, p.118320-118320, Article 118320

2022

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Visible-light-driven photo-Fenton reactions using Zn1-1.5xFexS/g-C3N4 photocatalyst: Degradation kinetics and mechanisms analysis

Applied catalysis. B, Environmental, 2020-06, Vol.266, p.1, Article 118653

2020

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A space hybridization theory for dealing with data insufficiency in intelligent power equipment diagnosis

Electric power systems research, 2021-10, Vol.199, p.107363, Article 107363

2021

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Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operations

Intelligent Classification of Silicon Photovoltaic Cell Defects Based on Eddy Current Thermography and Convolution Neural Network

Impacts of microplastics on organotins’ photodegradation in aquatic environments

A Novel Method of Fault Location for Single-Phase Microgrids

Adaptive decentralized output-constrained control of single-bus DC microgrids

Accurate Power Sharing and Synthetic Inertia Control for DC Building Microgrids With Guaranteed Performance

Deep learning-based immunohistochemical estimation of breast cancer via ultrasound image applications

Anti-Interference Deep Visual Identification Method for Fault Localization of Transformer Using a Winding Model

Event-triggered and self-triggered wide-area damping control designs under uncertainties

A Deep Parallel Diagnostic Method for Transformer Dissolved Gas Analysis

Distributed control of multiple-bus microgrid with paralleled distributed generators

Advances in Imaging in Evaluating the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer

Application of improved grey model residual modified fusion algorithm in dissolved gas forecasting

Active power correction strategies based on deep reinforcement learning-part I: A simulation-driven solution for robustness

Fault localization on transformer winding by frequency response analysis and evidential reasoning

Active power correction strategies based on deep reinforcement learning — part II: A distributed solution for adaptability

Hilbert ID Considering Multi-Window Feature Extraction for Transformer Deep Vision Fault Positioning

Intelligent Localization of Transformer Internal Degradations Combining Deep Convolutional Neural Networks and Image Segmentation

Q-Learning-Based Damping Control of Wide-Area Power Systems Under Cyber Uncertainties

A Deep Reinforcement Learning-Based Multi-Agent Framework to Enhance Power System Resilience Using Shunt Resources

A Data-Driven Multi-Agent Autonomous Voltage Control Framework Using Deep Reinforcement Learning

Decentralized High-Performance Control of DC Microgrids

ROS-mediated photoaging pathways of nano- and micro-plastic particles under UV irradiation

Visible-light-driven photo-Fenton reactions using Zn1-1.5xFexS/g-C3N4 photocatalyst: Degradation kinetics and mechanisms analysis

A space hybridization theory for dealing with data insufficiency in intelligent power equipment diagnosis

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