A5103242365- Energy Load and Power Forecasting
- Power Systems and Technologies
- Smart Grid and Power Systems
- Machine Fault Diagnosis Techniques
- Advanced Computational Techniques and Applications
- Power Systems and Renewable Energy
- Engineering Diagnostics and Reliability
- Smart Grid Security and Resilience
- Target Tracking and Data Fusion in Sensor Networks
- Sensor Technology and Measurement Systems
- Fault Detection and Control Systems
- Guidance and Control Systems
- Smart Materials for Construction
- Advanced Algorithms and Applications
- Electric Power System Optimization
- Infrared Target Detection Methodologies
- Asphalt Pavement Performance Evaluation
- Energetic Materials and Combustion
- Multi-Agent Systems and Negotiation
- Neural Networks and Applications
- Military Defense Systems Analysis
- Stability and Controllability of Differential Equations
- Thermography and Photoacoustic Techniques
- Smart Cities and Technologies
- Civil and Geotechnical Engineering Research
State Grid Corporation of China (China)
2024
Yunnan Open University
2022
Harbin Institute of Technology
2021
Lanzhou Jiaotong University
2005-2020
General Hospital of Shenyang Military Region
2011
Electric Power Research Institute
2009
China Electric Power Research Institute
2009
North China Electric Power University
2009
Xi'an Jiaotong University
2002-2005
Accurate load forecasting is essential for the operational management of distribution network. This paper proposes a hybrid ensemble deep learning (HEDL) framework. Two-stage decomposition based on multiple seasonal-trend using loess (MSTL) and variational mode (VMD), which simplifies observed sequence with complex variation patterns multi-timescales multi-frequencies. Multidimensional feature matrices considering component variability are constructed maximum information coefficient (MIC)...
Water causes freeze and thaw (F–T) damage on asphalt pavement, the extent of such varies with water phase. This study describes F–T evolution mixtures in different environments by introducing image information entropy, a method that can clearly describe stage. Three test procedures under conditions are designed. X-ray CT is used to obtain internal images various cycles. The entropy during liquid procedure shows three-stage variation, but vapour one-stage indicating promoting effect...
Abstract In this paper, we consider mild solutions to fractional differential inclusions with nonlocal initial conditions. The main results are proved under conditions that (i) the multivalued term takes convex values compactness of resolvent family operators; (ii) nonconvex operators and (iii) without operators, respectively.
In recent years, with the rapid development of social economy, China's investment in power grid dispatching automation system has also been increasing year by to meet demand for modern grids. Under this background, smart characterized information, automation, intelligence, and interaction become trend future electric development. Voice human-machine technology as an advanced interactive started intelligent dispatch system. Used application. This article mainly expounds status application...
In order to promote disciplined development of agent-based distribution control and automation systems, a generic three-layered multi-agent architecture is presented in this paper. The main focus on the proposed layered delineating various needs an system, thus supporting incremental specification, design, implementation, testing. use multiagent system (MAS) technology provides flexible scalable architecture. Some issues about design software, such as internal model agents, identifying...
Infrared range measurement has important applications in industrial robotics and automation, but the accuracy needs to be improved traditional design scheme. Therefore, this design, function methods such as polynomial least squares fitting nonlinear are written based on Matlab platform solve transfer of experimentally measured data, data conversion processing microcontroller improves system.