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PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment

IEEE access, 2019, Vol.7, p.115473-115486

2019

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Evaluating combination models of solar irradiance on inclined surfaces and forecasting photovoltaic power generation

IET smart grid, 2019-03, Vol.2 (1), p.123-130

2019

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Robust Output Voltage Regulation for DC-DC Buck Converters Under Load Variations via Sampled-Data Sensorless Control

IEEE access, 2018-01, Vol.6, p.10688-10698

2018

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Implementation of Transferring Reinforcement Learning for DC-DC Buck Converter Control via Duty Ratio Mapping

IEEE transactions on industrial electronics (1982), 2023-06, Vol.70 (6), p.6141-6150

2023

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Evaluation of solar irradiance on inclined surfaces models in the short-term photovoltaic power forecasting

Journal of engineering (Stevenage, England), 2017, Vol.2017 (13), p.2226-2230

2017

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Safety-Critical Generalized Predictive Control for Speed Regulation of PMSM Drives Based on Dynamic Robust Control Barrier Function

IEEE transactions on industrial electronics (1982), 2024-07, p.1-11

2024

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Voltage Regulation of DC-DC Buck Converters Feeding CPLs via Deep Reinforcement Learning

IEEE transactions on circuits and systems. II, Express briefs, 2022-03, Vol.69 (3), p.1777-1781

2022

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Finite-Time Synergetic Controller Design for DC Microgrids with Constant Power Loads

IEEE transactions on smart grid, 2023-09, Vol.14 (5), p.1-1

2023

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A Self-adaptive Interior Penalty Based Differential Evolution Algorithm for Constrained Optimization

Advances in Swarm Intelligence, p.309-318

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基于深度强化学习的Boost变换器控制策略

系统仿真学报, 2023-05, Vol.35 (5), p.1109-1119

2023

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Learning-Based Optimal Large-Signal Stabilization for DC/DC Boost Converters Feeding CPLs via Deep Reinforcement Learning

IEEE journal of emerging and selected topics in power electronics, 2023-12, Vol.11 (6), p.5592-5601

2023

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Toward Balancing Dynamic Performance and System Stability for DC Microgrids: A New Decentralized Adaptive Control Strategy

IEEE transactions on smart grid, 2022-09, Vol.13 (5), p.3439-3451

2022

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A DRL-based Parameter Self Configuration Mechanism of Nonsmooth Control for Autonomous DC Microgrids Feeding Constant Power Loads

IEEE journal of emerging and selected topics in power electronics, 2024-02, Vol.12 (1), p.1-1

2024

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Solar Radiation Prediction Model Based on Spatial Attention Mechanisms and Sun Position Feature Maps

International journal of information technologies and systems approach, 2024-10, Vol.17 (1), p.1-15

2024

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Decentralized composite generalized predictive control strategy for DC microgrids with high PV penetration

International journal of robust and nonlinear control, 2022-09, Vol.32 (14), p.7793-7808

2022

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A Variable Self-Tuning Horizon Mechanism for Generalized Dynamic Predictive Control on DC/DC Boost Converters Feeding CPLs

IEEE journal of emerging and selected topics in power electronics, 2023-04, Vol.11 (2), p.1-1

2023

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Adaptive Horizon Seeking for Generalized Predictive Control via Deep Reinforcement Learning With Application to DC/DC Converters

IEEE transactions on circuits and systems. I, Regular papers, 2024-05, Vol.71 (5), p.2217-2228

2024

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Optimal Operation Study of Distribution Network Based on Flexible Multi-State Switch and Shared Energy Storage

2023 5th International Conference on Electrical Engineering and Control Technologies (CEECT), 2023, p.172-177

2023

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3D Reconstruction Approach for Outdoor Scene Based on Multiple Point Cloud Fusion

Journal of the Indian Society of Remote Sensing, 2019-10, Vol.47 (10), p.1761-1772

2019

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Research on Accelerated Solving Method of Security-Constrained Unit Commitment Based on Heuristic Knowledge

2020 4th International Conference on Power and Energy Engineering (ICPEE), 2020, p.114-118

2020

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A deep reinforcement learning control strategy to improve the operating flexibility of CHP units under variable load conditions

Thermal science and engineering progress, 2024-03, Vol.49, p.102482, Article 102482

2024

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Composite Dynamic Regulation for AC Microgrids Feeding Variable Constant Power Loads

2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), 2024, p.1-6

2024

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Research on Photovoltaic MPPT Technique Based on Deep Reinforcement Learning Under Varying Irradiance Levels

2023 8th International Conference on Power and Renewable Energy (ICPRE), 2023, p.1794-1799

2023

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Memory Based Differential Evolution Algorithms for Dynamic Constrained Optimization Problems

2015 11th International Conference on Computational Intelligence and Security (CIS), 2015, p.30-33

2015

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A Generalized Predictive Controller with Self-Tuning Horizon for DC/DC Converters using Multi-objective DRL Algorithm

2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA), 2022, p.555-560

2022

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PV Power Prediction Based on LSTM With Adaptive Hyperparameter Adjustment

Evaluating combination models of solar irradiance on inclined surfaces and forecasting photovoltaic power generation

Robust Output Voltage Regulation for DC-DC Buck Converters Under Load Variations via Sampled-Data Sensorless Control

Implementation of Transferring Reinforcement Learning for DC-DC Buck Converter Control via Duty Ratio Mapping

Evaluation of solar irradiance on inclined surfaces models in the short-term photovoltaic power forecasting

Safety-Critical Generalized Predictive Control for Speed Regulation of PMSM Drives Based on Dynamic Robust Control Barrier Function

Voltage Regulation of DC-DC Buck Converters Feeding CPLs via Deep Reinforcement Learning

Finite-Time Synergetic Controller Design for DC Microgrids with Constant Power Loads

A Self-adaptive Interior Penalty Based Differential Evolution Algorithm for Constrained Optimization

基于深度强化学习的Boost变换器控制策略

Learning-Based Optimal Large-Signal Stabilization for DC/DC Boost Converters Feeding CPLs via Deep Reinforcement Learning

Toward Balancing Dynamic Performance and System Stability for DC Microgrids: A New Decentralized Adaptive Control Strategy

A DRL-based Parameter Self Configuration Mechanism of Nonsmooth Control for Autonomous DC Microgrids Feeding Constant Power Loads

Solar Radiation Prediction Model Based on Spatial Attention Mechanisms and Sun Position Feature Maps

Decentralized composite generalized predictive control strategy for DC microgrids with high PV penetration

A Variable Self-Tuning Horizon Mechanism for Generalized Dynamic Predictive Control on DC/DC Boost Converters Feeding CPLs

Adaptive Horizon Seeking for Generalized Predictive Control via Deep Reinforcement Learning With Application to DC/DC Converters

Optimal Operation Study of Distribution Network Based on Flexible Multi-State Switch and Shared Energy Storage

3D Reconstruction Approach for Outdoor Scene Based on Multiple Point Cloud Fusion

Research on Accelerated Solving Method of Security-Constrained Unit Commitment Based on Heuristic Knowledge

A deep reinforcement learning control strategy to improve the operating flexibility of CHP units under variable load conditions

Composite Dynamic Regulation for AC Microgrids Feeding Variable Constant Power Loads

Research on Photovoltaic MPPT Technique Based on Deep Reinforcement Learning Under Varying Irradiance Levels

Memory Based Differential Evolution Algorithms for Dynamic Constrained Optimization Problems

A Generalized Predictive Controller with Self-Tuning Horizon for DC/DC Converters using Multi-objective DRL Algorithm

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