Search Results - "Ma, Liangyu"
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Recent advances of MXene as promising catalysts for electrochemical nitrogen reduction reaction
Published in Chinese chemical letters (01-04-2020)“…MXene-based materials were suggested to be promising candidates for electrocatalytic nitrogen reduction due to their exceptional properties [Display omitted]…”
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Analytical methods for assessing antimicrobial activity of nanomaterials in complex media: advances, challenges, and perspectives
Published in Journal of nanobiotechnology (20-03-2023)“…Assessing the antimicrobial activity of engineered nanomaterials (ENMs), especially in realistic scenarios, is of great significance for both basic research…”
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Two-dimensional transition metal dichalcogenides for electrocatalytic nitrogen fixation to ammonia: Advances, challenges and perspectives. A mini review
Published in Electrochemistry communications (01-04-2021)“…[Display omitted] •Latest research on transition metal dichalcogenide (TMDC) catalysts for the nitrogen reduction reaction (NRR) is reviewed.•Strategies to…”
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4
A hybrid optimization-based recurrent neural network for real-time data prediction
Published in Neurocomputing (Amsterdam) (01-11-2013)“…This paper proposes a novel hybrid optimization algorithm for simultaneous structure and parameter learning of Elman-type recurrent neural networks (RNNs)…”
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5
Comparison of the two surgery methods combined with accelerated rehabilitation in the treatment of lateral compression type 1 pelvic fractures in the elderly
Published in Journal of orthopaedic surgery and research (28-09-2023)“…Abstract Background Treating lateral compression type 1 (LC1) pelvic ring injuries in older patients is controversial. This study evaluated surgical treatments…”
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6
Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs
Published in Geofluids (26-04-2023)“…Cyclic steam stimulation (CSS) is one efficient technology for enhancing heavy-oil recovery. However, after multiple cycles, steam channeling severely limits…”
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A New Scheme for Essential Protein Identification Based on Uncertain Networks
Published in IEEE access (2020)“…Identifying essential proteins is important for not only understanding cellular activity but also detecting human disease genes. A series of centrality…”
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Ultra-Short-Term Forecast of Photovoltaic Output Power under Fog and Haze Weather
Published in Energies (Basel) (28-02-2018)“…Fog and haze (F-H) weather has been occurring frequently in China since 2012, which affects the output power of photovoltaic (PV) generation dramatically by…”
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An optimized nearest prototype classifier for power plant fault diagnosis using hybrid particle swarm optimization algorithm
Published in International journal of electrical power & energy systems (01-06-2014)“…•A novel nearest prototype classifier is proposed for fault diagnosis.•A constructive approach is employed to determine the number of prototypes.•A hybrid…”
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Interval Multi-Objective Optimal Scheduling for Redundant Residential Microgrid With VESS
Published in IEEE access (2019)“…Optimal scheduling of building microgrid could yield economical savings and reduce the pollutants emission, while ensuring the comfort level of users. A…”
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Optimal Scheduling of Residential Microgrids Considering Virtual Energy Storage System
Published in Energies (Basel) (01-04-2018)“…The increasingly complex residential microgrids (r-microgrid) consisting of renewable generation, energy storage systems, and residential buildings require a…”
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Sulfur defect-rich WS2−x nanosheet electrocatalysts for N2 reduction
Published in Science China materials (01-08-2021)“…Seeking catalysts with high electrocatalytic activity for ambient-condition N 2 reduction reaction (NRR) remains an ongoing challenge due to the chemical…”
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13
Fault early warning of pitch system of wind turbine based on GA-BP neural network model
Published in E3S web of conferences (01-01-2020)“…A fault early warning method based on genetic algorithm to optimize the BP neural network for the wind turbine pitch system is proposed. According to the…”
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14
An Intelligent Power Plant Fault Diagnostics for Varying Degree of Severity and Loading Conditions
Published in IEEE transactions on energy conversion (01-06-2010)“…Practical fault diagnosis of a thermal system is very important in ensuring safe and reliable operation of a power plant. However, it is a difficult task due…”
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Neural network based load prediction model for an ultra-supercritical turbine power unit
Published in 2015 34th Chinese Control Conference (CCC) (01-07-2015)“…Widespread implementation of the regional power grid centered automatic generation control (AGC) proposes higher demands on the unit load control precision,…”
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Conference Proceeding Journal Article -
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Output power attenuation rate prediction for photovoltaic panels considering dust deposition in hazy weather
Published in 2017 36th Chinese Control Conference (CCC) (01-07-2017)“…Photovoltaic (PV) power prediction is a key technology to improve the control and scheduling performance of PV power plant and ensure safe and stable grid…”
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Conference Proceeding -
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Neural network based superheater steam temperature control for a large-scale supercritical boiler unit
Published in 2011 IEEE Power and Energy Society General Meeting (01-07-2011)“…To improve the Superheater Steam Temperature (SST) control of a large-scale supercritical coal-fired boiler generating unit, this paper presents an inverse…”
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Conference Proceeding -
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Composited active disturbance rejection control for the coordinated system of supercritical unit
Published in Proceedings of the 33rd Chinese Control Conference (01-07-2014)“…Directing against the nonlinear, variable-parameter, strong-coupling, and large time-delay features of the supercritical boiler-turbine unit, which often…”
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Conference Proceeding -
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Superheated steam temperature predictive optimal control based on external time-delay BP neural network and a simpler PSO algorithm
Published in Proceedings of the 31st Chinese Control Conference (01-07-2012)“…Power industry is facing a rapid development toward larger-capacity supercritical and ultra-supercritical coal-fired power generating units. The big inertia,…”
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Conference Proceeding -
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Reactivity estimation of nuclear reactor combined with neural network and mechanism model
Published in 2012 IEEE Power and Energy Society General Meeting (01-07-2012)“…The reactivity control is an important mean to ensure the safety operation of a nuclear power plant. But the reactivity of the nuclear reactor usually can not…”
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Conference Proceeding