A5100624630- Advanced Photocatalysis Techniques
- Perovskite Materials and Applications
- Power System Optimization and Stability
- 2D Materials and Applications
- Smart Grid Security and Resilience
- Power System Reliability and Maintenance
- Advancements in Photolithography Techniques
- Quantum Dots Synthesis And Properties
- Ga2O3 and related materials
- Gas Sensing Nanomaterials and Sensors
- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Advanced Surface Polishing Techniques
- Energy Load and Power Forecasting
- Electronic and Structural Properties of Oxides
- Electron and X-Ray Spectroscopy Techniques
- Hydrocarbon exploration and reservoir analysis
- Recommender Systems and Techniques
- Power Systems and Technologies
- Seismic Imaging and Inversion Techniques
- Covalent Organic Framework Applications
- Machine Learning and ELM
- Smart Grid and Power Systems
- MXene and MAX Phase Materials
- Photovoltaic Systems and Sustainability
Nanyang Technological University
2019-2025
Inner Mongolia Electric Power (China)
2023
University of Electronic Science and Technology of China
2021-2023
Daqing Oilfield General Hospital
2021-2022
Jiangnan University
2018-2021
Huzhou University
2021
Fuzhou University
2021
State Key Laboratory of Metastable Materials Science and Technology
2019
Shanghai Innovative Research Center of Traditional Chinese Medicine
2019
Yanshan University
2019
Accurate solar photovoltaic (PV) generation forecast is critical to the reliable and economic operation of a modern power system. In practice, due various faulty issues in sensor, communication, or database system, historical online measurement data may not be always complete, missing could dramatically degrade forecasting model's accuracy. To solve this problem, paper proposes an integrated missing-data tolerant model for probabilistic PV forecasting. Taking generations as input, based on...
Load shedding (LS) is an effective control strategy against voltage instability in power systems. With increasing uncertainties and complexity modern grids, there a pressing need for faster more accurate decisions. In this article, hierarchical data-driven method proposed the online prediction of event-based load (ELS) fault-induced delayed recovery. The ELS problem hierarchically modeled as multi-output classification subproblem identifying best location regression to predict minimum...
Abstract Recently, lead‐free materials with stable photoluminescence (PL) at room temperature, such as vacancy‐ordered double perovskites have drawn wide attention. Herein, Te 4+ ‐doped all‐inorganic Cs 2 Zr 1− x Cl 6 perovskite microcrystals (MCs) are reported. The obtained pure ZrCl MCs exhibit a blue emission, while show broad and strong yellow emission ultrahigh quantum yield (PLQY) up to 79.46% temperature. structure optical properties of investigated in detail by experiments...
The 2D/2D S-scheme Ag–g-C<sub>3</sub>N<sub>4</sub>–Bi<sub>2</sub>WO<sub>6</sub> composite with efficient charge transfer, displayed a remarkable degradation activity of tetracycline under visible light irradiation.
From the 1994 bailout policies to 2015 Shanghai-Hong Kong Stock Connect, policy impact on Chinese stock market has changed over time. By May 2015, global investors can directly invest in a more legalized and normalized market, whereas they are still concerned about policy-oriented its attendant risks. In this study, we employ family of GARCH models investigate structural changes risks with implementation series policies. Our results show that although many improve or stabilize certain lead...
With the advancement of machine learning techniques, data-driven power system dynamic security assessment (DSA) has received great research interests. Traditional methods usually apply one DSA model for specific fault and cannot simultaneously address different multiple faults by model. To solve this issue further improve accuracy performance, paper proposes a novel method based on multi-label (MLL) with training database sufficient incomplete/uneven coverage labels scenarios. By considering...
Enhanced by machine learning (ML) techniques, data-driven stability assessment (SA) in smart cyber-physical grids has attracted significant research interest recent years. However, the current centralized ML architectures have limited scalability, are vulnerable to privacy exposure, and costly manage. To resolve these limitations, we propose a novel secure distributed SA method based on federated (FL) differential (DP), namely SecFedSA. It leverages local system operating data predict...
Na3PS4 crystals with high ionic conductivity are promising solid-state electrolytes. Here, a novel phase of (β'-NPS) crystallizing in cubic lattice space group P4̄3m was systematically investigated using first-principles calculations. First all, β'-NPS is determined to be thermodynamically, dynamically and mechanically stable. The transition from tetragonal Na3PS4(α-NPS) system occurs at approximately 480 K, suggesting feasibility experimental access. Moreover, the an insulator large band...
MASnI3, an organometallic halide, has great potential in the field of lead-free perovskite solar cells. Ultraviolet photons have been shown to generate deep trapping electronic defects mesoporous TiO2-based perovskite, affecting its performance and stability. In this study, structural, electronic, optical properties cubic, tetragonal, hexagonal phases MASnI3 were studied using first-principles calculations. The results indicate that phase possesses a larger indirect bandgap carrier effective...
With widely deployment of phasor measurement units (PMU), data-driven dynamic security assessment (DSA) has been a promising tool to help power system counteract large disturbance and avoid instability. In case PMU lost events, the DSA performance may be dramatically degraded. This paper designs new online model based on hybrid ensemble learning address missing data problem. this method, set estimators is proposed restore measurement, potential inaccurately estimated features are detected in...
The effects of (C, N, S, P)/V co-doping on the electronic structures indium niobate have been investigated by first principle calculations based density functional theory (DFT). results indicated that some localized V 3d states emerged under bottom conduction band (Nb 4d states) along with existence C 2p (N 2p, S 3p) above top valence (O for (N, S)/V co-doped InNbO4. As P/V co-doping, introduced P 3p levels in gap were conducive to cut down electron transition energy. Moreover, hybridization...
Aiming at timely and adaptive remedial control for the fault-induced voltage recovery (FIDVR) events in power systems, this paper develops a probabilistic data-driven method response-based load shedding (RLS). In proposed method, scalable Gaussian process (SGP) model is developed to estimate required (LS) amount confidence of corresponding predictions. Based on information, 2-stage LS designed enhance effectiveness efficiency scheme, using mean value first stage upper-bound second stage. The...
Abstract Power system dynamic security assessment (DSA) has long been essential for protecting the from risk of cascading failures and wide‐spread blackouts. The machine learning (ML) based data‐driven strategy is promising due to its real‐time computation speed knowledge discovery capacity. However, ML algorithms are found be vulnerable against well‐designed malicious input samples that can lead wrong outputs. Adversarial attacks implemented measure vulnerability trained models....
To study the spatial distribution and scale of oil gas near faults in petroliferous basins, a prediction model is established for degree damage that different stages evolution exert on sealing ability mudstone cap rocks by calculating fault to rocks. This applied Nanpu 5th Structure results show at survey lines L2 L8, F1 Fault destroyed capacity rock 2nd member Dongying Formation (E3d2). The undamaged stage, when was zero, persisted from 23.8 16.0 Ma line 13.6 L8. Complete destruction, i.e.,...
The semiconductor manufacturing roadmap which generally follows Moore's law requires smaller and EPE (Edge Placement Error), this places stricter requirements on OPC model accuracy, is mainly limited by metrology errors, pattern coverage form. Current errors are related to SEM image noise measurement difficulty in complex 2D patterns. And traditional form improvement adding empirical terms for PEB (Post Exposure Bake), NTD (Negative Tone Development) PRS (Physical Resist Shrinkage) effects...
In this study, a series of molybdenum-doped ultrathin BiVO 4 nanosheets (Mo-BVO) were successfully synthesized by facile hydrothermal method. The results indicated that Mo-BVO exhibited high photocatalytic efficiency methyl blue (MB) degradation under visible-light irradiation. Particularly, 1% an optimum photo-degradation rate more than 97% within 60 min illumination, which was approximately 3.8 times greater pure BVO. experimental characterizations and DFT calculations manifested the BVO...