Yuansheng Huang

ORCID: 0000-0001-5105-9780
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About
Contact & Profiles
Research Areas
  • Process Optimization and Integration
  • Microbial Community Ecology and Physiology
  • Microgrid Control and Optimization
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Wastewater Treatment and Nitrogen Removal
  • Energy Load and Power Forecasting
  • Advanced DC-DC Converters
  • Multilevel Inverters and Converters
  • Nonmelanoma Skin Cancer Studies
  • Cancer and Skin Lesions
  • Evaluation and Optimization Models
  • Grey System Theory Applications
  • Advanced Decision-Making Techniques
  • Pain Mechanisms and Treatments
  • Membrane Separation and Gas Transport
  • Crystallization and Solubility Studies
  • Botulinum Toxin and Related Neurological Disorders
  • Diabetic Foot Ulcer Assessment and Management
  • HVDC Systems and Fault Protection
  • Power Systems and Renewable Energy
  • Water Treatment and Disinfection
  • Urban Stormwater Management Solutions
  • Integrated Energy Systems Optimization
  • Regional Development and Environment
  • Hedgehog Signaling Pathway Studies

Xinjiang University
2023-2025

China Southern Power Grid (China)
2023

Chongqing University
2016-2022

North China Electric Power University
2008-2022

Shanghai Jiao Tong University
2019-2022

Peking University
2012-2018

University of British Columbia
2001-2018

Southern Illinois University Edwardsville
2018

Nanjing Agricultural University
2017

Nanchang Hangkong University
2017

Accurate and stable prediction of short-term load for electric vehicle charging stations is great significance in ensuring economical safe operation power grids. In order to improve the accuracy stability forecasting stations, an innovative model based on a convolutional neural network lion algorithm, improved by niche immunity, proposed. Firstly, immunity utilized restrict over duplication similar individuals, so as ensure population diversity which improves optimization performance...

10.3390/en11051253 article EN cc-by Energies 2018-05-14

Short-term wind speed prediction is of cardinal significance for maximization power utilization. However, the strong intermittency and volatility pose a challenge to model. To improve accuracy prediction, novel model using ensemble empirical mode decomposition (EEMD) method combination forecasting Gaussian process regression (GPR) long short-term memory (LSTM) neural network based on variance-covariance proposed. In proposed model, EEMD employed decompose original data series into several...

10.3390/su10103693 article EN Sustainability 2018-10-15

The widespread consumption and continuous discharge of antibiotics have threatened the ecological health urban-rural watershed. In this study, multi-phase distribution, spatiotemporal variation risk 18 in rivers lakes from Suzhou City were investigated based on gradient. total antibiotic concentration surface water, suspended particulate matter (SPM) sediments was 39.28-2578 ng/L, 6.16-171.09 ng/L 12.67-2249 ng/g, respectively. High detection frequency (>76%) suggested universal pollution....

10.1016/j.ecoenv.2020.111156 article EN cc-by-nc-nd Ecotoxicology and Environmental Safety 2020-08-28

Providencia rettgeri strain YL shows the capability of nitrogen removal under sole aerobic conditions. By using isotope ratio mass spectrometry, 15N-labelled N2O and N2 were detected in batch cultures containing , or . Strain converted to produce more than presence An 15N tracing experiment confirmed that pathway was heterotrophic nitrification-aerobic denitrification. The optimal treatment conditions for pH 8, C/N 12, temperature 25°C shaking speed 105 rpm. A continuous bioreactor...

10.1080/09593330.2016.1146338 article EN Environmental Technology 2016-01-30

In this paper, a method is proposed to mitigate unbalanced voltage and reduce power losses due neutral line current in bipolar direct (DC) distribution network by introducing DC electric spring (DC-ES). The coupling relationship between positive negative pole voltages are investigated given the resistance of network. matrixes DC-ES output deduced. And demonstrate that control system composed double inputs outputs voltages. small-signal model with DC-ESs derived further. Subsequently,...

10.1109/tsg.2019.2941874 article EN IEEE Transactions on Smart Grid 2019-09-17

Low carbon economy, energy conservation and environmental protection is one of the important tasks current future economic social development. The large-scale development utilization all kinds clean has accelerated speed China's transformation. Rail transit system a large power consumer. In recent years, transportation been facing triangle contradiction new energy, cost protection. Connecting photovoltaic generation to rail supply many advantages: (1) it can reduce operation system; (2) use...

10.1016/j.aej.2021.04.008 article EN cc-by-nc-nd Alexandria Engineering Journal 2021-06-05

The use of bipolar direct current (dc) distribution systems introduces the possibility unbalanced voltage (current). This situation increases deviations and power losses at each node owing to presence a neutral line current. article proposes method that mitigates caused by constant loads (CPLs) dc electric springs (DC-ESs). A linearized model is used in small-signal analysis CPLs. On this basis, coupling relationship between positive negative pole voltages analyzed. After DC-ESs are...

10.1109/tie.2020.2978714 article EN IEEE Transactions on Industrial Electronics 2020-03-11

Four-mode modulation (FMM) method is the most advanced for four-switch buck–boost converter among existing control strategies. But its efficiency still not optimal. In this article, all FMM methods are analyzed, and minimum inductor current root mean square value of each obtained via generalized Lagrange multiplier method. Under circumstance, optimal selected to form a that improves operating over whole range. Experimental results comparison with state-of-the-art demonstrate effectiveness...

10.1109/tie.2023.3250745 article EN IEEE Transactions on Industrial Electronics 2023-03-06
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