A5101763629- Energy Load and Power Forecasting
- Solar Radiation and Photovoltaics
- Fault Detection and Control Systems
- Rough Sets and Fuzzy Logic
- Integrated Energy Systems Optimization
- Machine Fault Diagnosis Techniques
- Wind Energy Research and Development
- Smart Grid Energy Management
- Electric Power System Optimization
- Advanced Algorithms and Applications
- Engineering Diagnostics and Reliability
- Imbalanced Data Classification Techniques
- Power Systems and Renewable Energy
- Aquatic Ecosystems and Phytoplankton Dynamics
- Data Mining Algorithms and Applications
- Geochemistry and Elemental Analysis
- Industrial Technology and Control Systems
- Photovoltaic System Optimization Techniques
- Advanced Combustion Engine Technologies
- Building Energy and Comfort Optimization
- Microgrid Control and Optimization
- Smart Grid and Power Systems
- Advanced Sensor Technologies Research
- Forest ecology and management
- Wind and Air Flow Studies
Harbin Institute of Technology
2014-2024
Education Department of Fujian Province
2024
Fujian Agriculture and Forestry University
2016-2024
Ministry of Natural Resources
2024
Nanchang Institute of Technology
2020-2024
Jiangxi Academy of Environmental Sciences
2023
Sichuan Normal University
2022
Guangxi University
2021
Guangxi University of Chinese Medicine
2021
Facing Our Risk of Cancer Empowered
2021
Abstract Solar flares originate from the release of energy stored in magnetic field solar active regions, triggering mechanism for these flares, however, remains unknown. For this reason, conventional flare forecast is essentially based on statistic relationship between and measures extracted observational data. In current work, deep learning method applied to set up forecasting model, which patterns can be learned line-of-sight magnetograms regions. order obtain a large amount data train...
Rough set theory has proven to be an efficient tool for modeling and reasoning with uncertainty information. By introducing probability into fuzzy approximation space, a about probabilistic spaces is proposed in this paper, which combines three types of uncertainty: probability, fuzziness, roughness rough model. We introduce Shannon's entropy measure information quantity implied Pawlak's then present novel representation relation matrix. Based on the modified formulas, some generalizations...
The tumor microenvironment (TME) has important effects on the tumorigenesis and development of osteosarcoma (OS). However, dynamic mechanism regulating TME immune matrix components remains unclear. In this study, we collected quantitative data gene expression 88 OS samples from Cancer Genome Atlas (TCGA) database downloaded relevant clinical cases TARGET database. proportions tumor-infiltrating cells (TICs) numbers were determined by CIBERSORT ESTIMATE calculation methods. Protein-protein...
Short-term wind speed prediction plays an important role in large-scale power penetration. However, there is still a large gap between the requirement of performance and current techniques. In this paper, we propose pattern-based approach to short-term prediction. It well accepted that varies different patterns weather conditions. Thus, should use models describe these patterns, whereas most works conduct with single model. Based on observation, introduce generalized principal component...
Mangroves are an essential component of coastal ecosystems. Accurate and effective identification extraction mangrove areas from remote sensing imagery is crucial for monitoring changes in the nearshore ecological environment. High-resolution often difficult or expensive to obtain usually lacks sufficient temporal coverage, so most forests still relies on medium- low-resolution imagery, resulting inaccurate distribution extracted areas. The super-resolution (SR) images generated by...
Day-ahead prediction of wind speed is a basic and key problem large-scale power penetration. Many current techniques fail to satisfy practical engineering requirements because speed's strong nonlinear features, influenced by many complex factors, the general model's inability automatically learn features. It well recognized that varies in different patterns. In this paper, we propose deep feature learning (DFL) approach forecasting its advantages at both multi-layer extraction unsupervised...