A5100439748- Electric Power System Optimization
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- Microbial Applications in Construction Materials
- Innovative concrete reinforcement materials
- Solar Radiation and Photovoltaics
- Concrete and Cement Materials Research
- Optimal Power Flow Distribution
- Integrated Energy Systems Optimization
- Advanced Computational Techniques and Applications
- Advanced Photonic Communication Systems
- Advanced Optical Imaging Technologies
- Grouting, Rheology, and Soil Mechanics
- Photonic and Optical Devices
- Optical Network Technologies
- Microgrid Control and Optimization
- Power Systems and Renewable Energy
- Advanced Fiber Laser Technologies
- Advanced Memory and Neural Computing
- Advanced Optical Sensing Technologies
- Surface Roughness and Optical Measurements
- Advanced Fiber Optic Sensors
- Electric Vehicles and Infrastructure
- Image and Object Detection Techniques
- Atmospheric chemistry and aerosols
China Agricultural University
2014-2025
Beijing Institute of Technology
2018-2024
Beijing University of Posts and Telecommunications
2017-2024
State Key Laboratory of Information Photonics and Optical Communications
2023
Beijing Forestry University
2023
State Forestry and Grassland Administration
2023
Shandong University
2022-2023
State Key Laboratory of Mobile Networks and Mobile Multimedia Technology
2023
Ministry of Agriculture and Rural Affairs
2022-2023
National Engineering Research Center for Information Technology in Agriculture
2022-2023
It is generally accepted that the impact of weather variation gradually increasing in modern distribution networks with integration high-proportion photovoltaic (PV) power generation and weather-sensitive loads. This article analyzes flow using a novel stochastic generator (SWG) based on statistical machine learning (SML). The proposed SML model, which incorporates generative adversarial (GANs), probability theory, information enables evaluation simulated hourly data throughout year. GAN...
Future electric power systems will face new operational challenges due to the high penetration of distributed energy resources (DERs). In Denmark, distribution system operator (DSO) expects a significant congestion increased in grids. order manage these congestions and mobilize DERs as economically efficient possible future grid, brand notion flexibility clearing house (FLECH) is proposed this paper. With aggregator-based offers, FLECH market has ability promote small scale (upto 5 MW) for...
Renewable energy sources such as wind and solar have received much attention in recent years, large amounts of renewable generation are being integrated into electricity networks. A fundamental challenge power system operation is to handle the intermittent nature generation. In this paper, we present a stochastic programming approach solve multiperiod optimal flow problem under uncertainty. The proposed consists two stages. first stage, operating points conventional plants determined. second...
Abstract The development of distributed renewable energy, such as photovoltaic power and wind generation, makes the energy system cleaner, is great significance in reducing carbon emissions. However, weather can affect uncertainty output brings challenges to planning for energy. Energy systems with high penetration involve high-dimensional, nonlinear dynamics large-scale complex systems, optimal solution model a difficult problem. From perspective statistical machine learning, theory under...
The crop pests and diseases in agriculture is one of the most important reason for reduction bulk grain oil crops decline fruit vegetable quality, which threaten macroeconomic stability sustainable development. However, recognition method based on manual instruments has been unable to meet needs scientific research production due its strong subjectivity low efficiency. pattern deep learning can automatically fit image features, use features classify predict images. This study introduced...
In this paper, we present a real-time trading framework for distribution networks where rational aggregator is identified as broker by contracting with individual demands and dealing the company. Demand response capability characterized coexistence of elastic inelastic demand components. A one-leader multi-follower bi-level model proposed to derive procurement strategies, i.e., upper-level problem intends maximize profit proactive company, while lower-level expresses maximization per...
Abstract Warming can affect soil microbial respiration by changing biomass and community composition. The responses of to warming under experimental conditions are also related background the setup, such as magnitude, duration, methods. However, global pattern in response underlying mechanisms remain unclear. Here, we conducted a meta-analysis synthesizing data from 187 field experiments. We found that significantly increased carbon 11.8% 6.4%, respectively. warming-induced increase...
As the new generation of artificial intelligence (AI) continues to evolve, weather big data and statistical machine learning (SML) technologies complement each other are deeply integrated significantly improve processing forecasting accuracy fishery weather. Accurate services play a crucial role in production, serving as great safeguard for economic benefits personal safety, enabling fishermen carry out production better, contributing sustainable development industry. The objective this...
We propose a structure to excite plasmons in large-area continuous graphene films with insulator-covered sub-wavelength silicon gratings (ICSWSG). By numerical simulations we have demonstrated that, after adding low-permittivity insulator underneath graphene, the graphene/gratings hybrid has high Q-factor (∼66) and sharp notch (with full width at half maximum of ∼122 nm) transmission spectra mid-infrared resonant wavelength. Furthermore, plasmonic properties, e.g. wavelength, magnitude...
Rotational angle and speed are important parameters for condition monitoring fault diagnosis of rotating machineries, their measurement is useful in precision machining early warning faults. In this study, a novel vision-based algorithm proposed to complete task. A high-speed camera first used capture the video rotational object. To extract angle, template-based Lucas-Kanade introduced motion tracking by aligning template image sequence. Given special case nonplanar surface cylinder object,...