A5100720890- Energy Load and Power Forecasting
- Optimal Power Flow Distribution
- Power Systems and Renewable Energy
- Hydrological Forecasting Using AI
- Microgrid Control and Optimization
- Semiconductor materials and devices
- Geophysical Methods and Applications
- High-Voltage Power Transmission Systems
- Thin-Film Transistor Technologies
- ZnO doping and properties
- Generative Adversarial Networks and Image Synthesis
- solar cell performance optimization
- Technology and Security Systems
- Meteorological Phenomena and Simulations
- Fire Detection and Safety Systems
- Power Systems Fault Detection
- Rock Mechanics and Modeling
- Electric Power System Optimization
- Full-Duplex Wireless Communications
- Energy Harvesting in Wireless Networks
- Evacuation and Crowd Dynamics
- Text and Document Classification Technologies
- Power System Reliability and Maintenance
- Coal Properties and Utilization
- Power Line Communications and Noise
Jimei University
2024
NARI Group (China)
2016-2024
Harbin Institute of Technology
2024
Qingdao University of Technology
2024
National Yang Ming Chiao Tung University
2023
Shandong University of Technology
2023
China Jiliang University
2023
Peking University
2020-2021
In coal mining, changes in extraction rate significantly affect the stress field of seams. To study impact loading on energy and fracture evolution coal, uniaxial compression tests were conducted samples at different rates, with acoustic emission (AE) monitoring. The characteristics analyzed, along spatiotemporal AE during loading. Results show that peak strain gradually increase, but growth decreases. elastic modulus initially decreases then increases. Elastic continuously increases...
A risk assessment based adaptive ultra-short-term wind power prediction (USTWPP) method is proposed in this paper. In method, features are first extracted from the historical data, and then each time series (WPTS) split into several subsets defined by their stationary patterns. WPTS that does not match any of patterns included a subset non-stationary Each related to USTWPP model specially selected optimized offline on index. For online applications, pattern last short recognized, relevant...
In this paper, we propose a deep spatio-temporal forecasting model (Deep-STF) for multi-site weather prediction post-processing by using both temporal and spatial information.In our proposed framework, the information is modeled CNN (convolutional neural network) module an encoder-decoder structure with attention mechanism.The novelty of work lies in that takes full account characteristics obtain forecasts multiple meteorological stations simultaneously same framework.We apply DeepSTF to...
Magnetoelectric (ME) antennas have offered significant advantages in the design of very-low-frequency (VLF) communication systems operating challenging environments such as underground, underwater, and inside metallic enclosures. However, state-of-the-art ME-based either depend on bulky commercial signal processing instruments or limited reports digital transmissions. In this work, we demonstrate a compact an ME VLF system based self-designed modulator demodulator circuits, working at...
Grid-tied distributed generators (DGs) need to be equipped with anti-islanding protection avoid the impact of unplanned islanding, which would affect system stability, auto-reclosing, and personal safety. Among active protections, impedance measurements based on signal injection have advantages a low non-detection zone (NDZ) are less prone maloperation during grid disturbances; however, there problems interference in multi-DG systems. Hence, angle measurement method signals injected...
Positive error and negative of wind power forecasting have different impacts on system reliability efficiency that should be treated individually. However, current evaluation indexes are all from the viewpoint average absolute value forecast errors cannot reflect symbols. Based definition positive forecasting, those two economical operation analyzed in detail this paper. Also, calculation method is proposed proved by an experimental example.
In this study, we reported the employment of atomic-layer-deposited (ALD) ultrathin (~1.8 nm) amorphous InSnZnO (a-ITZO) as an innovative channel material to develop back-end-of-line (BEOL) compatible thin film transistor (TFT) for monolithic 3D integration first time. By carefully adjusting In/Sn/Zn ratio through ALD cycles, bottom gate (BG) TFT with In0.83Sn <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.11</inf> Zn...