Yanghong Xia
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View article: A modified single-vector based FCS-MPC with delayed and suboptimal switching for VSI
A modified single-vector based FCS-MPC with delayed and suboptimal switching for VSI Open
Conventional single-vector finite control set model predictive control (FCS-MPC) implements one switching state throughout the control period, resulting in significant harmonic distortion and variable switching frequency. In this study, a …
View article: CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization Open
Translating natural language mathematical statements into formal, executable code is a fundamental challenge in automated theorem proving. While prior work has focused on generation and compilation success, little attention has been paid t…
View article: Author Correction: Support-free iridium hydroxide for high-efficiency proton-exchange membrane water electrolysis
Author Correction: Support-free iridium hydroxide for high-efficiency proton-exchange membrane water electrolysis Open
View article: Predictive Control for Grid-Forming Single-Stage PV System Without Energy Storage
Predictive Control for Grid-Forming Single-Stage PV System Without Energy Storage Open
Unlike diesel generators or energy storage systems, photovoltaic (PV) arrays lack inherent rotational inertia and have output limitations due to their operational environmental dependencies. These characteristics restrict their suitability…
View article: A modified FCS-MPC with fixed switching frequency for VSI based on conditional suboptimal switching
A modified FCS-MPC with fixed switching frequency for VSI based on conditional suboptimal switching Open
View article: Support-free iridium hydroxide for high-efficiency proton-exchange membrane water electrolysis
Support-free iridium hydroxide for high-efficiency proton-exchange membrane water electrolysis Open
The large-scale implementation of proton-exchange membrane water electrolyzers relies on high-performance membrane-electrode assemblies that use minimal iridium (Ir). In this study, we present a support-free Ir catalyst developed through a…
View article: Mechanistic study of the effect of a high-salt diet on the intestinal barrier
Mechanistic study of the effect of a high-salt diet on the intestinal barrier Open
Despite the established link between chronic high salt diet (HSD) and an increase in gut inflammation, the effect of HSD on the integrity of the intestinal barrier remains understudied. The present study aims to investigate the impact of H…
View article: A Characteristic Parameter Based Adaptive Power Reserve Control of Pv for Decentralized Frequency Support
A Characteristic Parameter Based Adaptive Power Reserve Control of Pv for Decentralized Frequency Support Open
View article: A Characteristic Parameter Based Adaptive Power Reserve Control of Pv for Decentralized Frequency Support
A Characteristic Parameter Based Adaptive Power Reserve Control of Pv for Decentralized Frequency Support Open
View article: Advances and Applications of Deep Learning in NDT of Welding
Advances and Applications of Deep Learning in NDT of Welding Open
View article: Cutting-edge advances in pressurized electrocatalytic reactors
Cutting-edge advances in pressurized electrocatalytic reactors Open
As an important component in electrochemical energy conversion and storage systems, electrochemical reactors (ECRs) are widely used for commodity chemical synthesis, including electrolytic H2 production, NH3 synthesis, and high-value CO2 u…
View article: 153P Combination of Tim-3 blockade TQB2618 with PD-1 blockade for patients with immunotherapy-resistant recurrent/metastatic nasopharyngeal carcinoma (R/M NPC): Preliminary results from a phase II study
153P Combination of Tim-3 blockade TQB2618 with PD-1 blockade for patients with immunotherapy-resistant recurrent/metastatic nasopharyngeal carcinoma (R/M NPC): Preliminary results from a phase II study Open
View article: Long-term performance evaluation of low-cost sensors using AI-driven tools
Long-term performance evaluation of low-cost sensors using AI-driven tools Open
In civil engineering and architectural applications, Micro Electro-Mechanical System (MEMS) accelerometer-based inclinometers are widely used due to their costeffectiveness. However, a major challenge associated with these devices is their…
View article: Current bunching effect of large-scale alkaline hydrogen evolution driven by renewable energy sources
Current bunching effect of large-scale alkaline hydrogen evolution driven by renewable energy sources Open
Alkaline water electrolyzers (AWEs) are suitable for industrial hydrogen production driven by renewable energy sources. However, there are still gaps in understanding underlying the operating principles of AWEs. Here, we report on the curr…
View article: Hydrogen Production Efficiency Enhancement of Alkaline Water Electrolyzers Under Varying Temperature Via an Adaptive Multi-Mode Control
Hydrogen Production Efficiency Enhancement of Alkaline Water Electrolyzers Under Varying Temperature Via an Adaptive Multi-Mode Control Open
View article: Adaptive Efficiency Enhancement Control for Hydrogen Production by Alkaline Water Electrolyzers Under Varying Temperature
Adaptive Efficiency Enhancement Control for Hydrogen Production by Alkaline Water Electrolyzers Under Varying Temperature Open
View article: Current Bunching Effect of Large-Scale Alkaline Hydrogen Evolution Driven by Renewable Energy Sources
Current Bunching Effect of Large-Scale Alkaline Hydrogen Evolution Driven by Renewable Energy Sources Open
View article: Adaptive Efficiency Enhancement Control for Hydrogen Production by Alkaline Water Electrolyzers Under Varying Temperature
Adaptive Efficiency Enhancement Control for Hydrogen Production by Alkaline Water Electrolyzers Under Varying Temperature Open
View article: Current Bunching Effect of Large-Scale Alkaline Hydrogen Evolution
Current Bunching Effect of Large-Scale Alkaline Hydrogen Evolution Open
Alkaline water electrolysers (AWEs) are suitable for the industrial hydrogen production driven by renewable energy sources. However, the understanding about the operating principle of large-scale AWEs is not profound and enough. Here, we r…
View article: Transient Stability Analysis for a Multi-VSC Parallel System Based on the CFND Method
Transient Stability Analysis for a Multi-VSC Parallel System Based on the CFND Method Open
Because of the control complexity of voltage source converters (VSCs), transient stability analysis of multi-VSC parallel systems is challenging, and there are still no effective methods to solve this problem. Inspired by the decoupling pr…
View article: A Non-Intrusive Identification Approach for Residential Photovoltaic Systems Using Transient Features and TCN with Attention Mechanisms
A Non-Intrusive Identification Approach for Residential Photovoltaic Systems Using Transient Features and TCN with Attention Mechanisms Open
In order to reduce the negative impact of the large-scale grid connection of residential photovoltaic (PV) equipment on the distribution network, it is of great significance to realize the real-time accurate identification of the grid conn…
View article: A Unified Active Frequency Regulating and Maximum Power Point Tracking Strategy for Photovoltaic Sources
A Unified Active Frequency Regulating and Maximum Power Point Tracking Strategy for Photovoltaic Sources Open
In order to optimize the extraction of solar energy, photovoltaic sources are commonly operated under the control of the so-called maximum power point (MPPT) strategy. However, as the rate of PV installations increases explosively, traditi…
View article: Transient Stability Analysis for Grid-Forming VSCs Based on Nonlinear Decoupling Method
Transient Stability Analysis for Grid-Forming VSCs Based on Nonlinear Decoupling Method Open
With the increasing integration of renewable energy into the power grid, there is a growing demand for converters that not only provide stable power, but also support auxiliary functions such as grid-voltage regulation. Consequently, grid-…
View article: Distributed event‐triggered secondary control for microgrids applicable to directed communication graph
Distributed event‐triggered secondary control for microgrids applicable to directed communication graph Open
Recently, distributed cooperative control has been popularly used in the secondary control of microgrids due to its reliability and flexibility. However, traditional distributed control schemes based on fixed‐cycle communication usually re…
View article: Resilience-Oriented Extreme Weather Conditional Renewable Scenario Generation Based on Diffusion Models and Few-shot Learning
Resilience-Oriented Extreme Weather Conditional Renewable Scenario Generation Based on Diffusion Models and Few-shot Learning Open
Several natural disasters worldwide have demonstrated that the severity of extreme weather events (EWEs) on power systems can be increased by adversely affecting renewable power. Generating renewable scenarios specific to EWEs is crucial f…
View article: Resilience-Oriented Extreme Weather Conditional Renewable Scenario Generation Based on Diffusion Models and Few-shot Learning
Resilience-Oriented Extreme Weather Conditional Renewable Scenario Generation Based on Diffusion Models and Few-shot Learning Open
Several natural disasters worldwide have demonstrated that the severity of extreme weather events (EWEs) on power systems can be increased by adversely affecting renewable power. Generating renewable scenarios specific to EWEs is crucial f…
View article: Efficiency and consistency enhancement for alkaline electrolyzers driven by renewable energy sources
Efficiency and consistency enhancement for alkaline electrolyzers driven by renewable energy sources Open
Low-cost alkaline water electrolysis from renewable energy sources (RESs) is suitable for large-scale hydrogen production. However, fluctuating RESs lead to poor performance of alkaline water electrolyzers (AWEs) at low loads. Here we expl…
View article: The ultra-short-term photovoltaic power prediction based on multi-exposure high-resolution total sky images using deep learning
The ultra-short-term photovoltaic power prediction based on multi-exposure high-resolution total sky images using deep learning Open
With the increasing installed capacity of renewable energy sources such as photovoltaic (PV) generation in the power system, ultra-short-term PV power prediction is more important for the stability. However, the prediction accuracy in the …
View article: A unified decentralized framework for isolated interlinking converters of hybrid DC/AC microgrids
A unified decentralized framework for isolated interlinking converters of hybrid DC/AC microgrids Open
Due to the advantages of effectively integrating diversified loads and renewable sources, hybrid DC/AC microgrids have attracted the common attention of industry and academia. Meanwhile, with the increasing number of power electronic devic…
View article: Optimum Pulse Electrolysis for Efficiency Enhancement of Hydrogen Production by Alkaline Water Electrolyzers
Optimum Pulse Electrolysis for Efficiency Enhancement of Hydrogen Production by Alkaline Water Electrolyzers Open