A5100447115- Microgrid Control and Optimization
- Electric Vehicles and Infrastructure
- Smart Grid Energy Management
- Nonlinear Photonic Systems
- Nonlinear Waves and Solitons
- Climate Change Policy and Economics
- Environmental Impact and Sustainability
- Energy, Environment, and Transportation Policies
- Energy, Environment, Economic Growth
- Embedded Systems and FPGA Design
- Machine Fault Diagnosis Techniques
- Complex Network Analysis Techniques
- Reliability and Maintenance Optimization
- Hybrid Renewable Energy Systems
- Integrated Energy Systems Optimization
- Advanced Sensor and Control Systems
- Evaluation and Optimization Models
- Grey System Theory Applications
- Building Energy and Comfort Optimization
- Regional Economic and Spatial Analysis
- Fractional Differential Equations Solutions
- Power Systems and Renewable Energy
- Opinion Dynamics and Social Influence
- Thermochemical Biomass Conversion Processes
- Sustainable Building Design and Assessment
Guizhou University
2012-2024
Henan Normal University
2024
BOE Technology Group (China)
2024
Internet Society
2022
Chongqing Medical University
2015-2020
Guizhou Electric Power Design and Research Institute
2012
Shenyang Ligong University
2010
Army Medical University
2010
Quanta Computer (China)
2010
Guizhou Institute of Technology
2002
Prognostics, such as remaining useful life (RUL) prediction, is a crucial task in condition-based maintenance. A major challenge data-driven prognostics the difficulty of obtaining sufficient number samples failure progression. However, for traditional machine learning methods and deep neural networks, enough training data prerequisite to train good prediction models. In this work, we proposed transfer algorithm based on Bi-directional Long Short-Term Memory (BLSTM) recurrent networks RUL...
Currently gear fault diagnosis is mainly based on vibration signals with a few studies acoustic signal analysis. However, acquisition limited by its contact measuring while traditional acoustic-based relies heavily prior knowledge of processing techniques and diagnostic expertise. In this paper, novel deep learning-based method proposed sound By establishing an end-to-end convolutional neural network (CNN), the time frequency domain can be fed into model as raw without feature engineering....
The energy conservation of existing buildings plays a significant role in reducing global carbon emissions and building consumption. research on focuses discussing new buildings. However, the is relatively single, there lack systematic in-depth review. Based bibliometric qualitative analysis methods, this study selects relevant literature from 2008 to 2022 for network mapping summarizes results. seven indicators impact factor, total publications, average publication year, total/average...
With the increasing global attention to environmental protection, microgrids with efficient usage of renewable energy have been widely developed. Currently, intermittent nature and uncertainty its demand affect stable operation a microgrid. Additionally, electric vehicles (EVs), as an impact load, could severely safe dispatch To solve these problems, multi-objective optimization model was established based on economy protection microgrid including EVs. The linear weighting method two-person...
As a new alternative fuel vehicle for energy reserve strategy, the development of methanol vehicles in China has been at forefront. Completed pilot projects have demonstrated that can effectively reduce costs and pollutant emissions during driving. In addition to vehicles, such as electric compressed natural gas also maintain sound momentum China. It is essential understand which one more advantages from sustainable development. This paper uses Energy, Environment, Economy (3E) evaluation...
Aspect-based sentiment analysis (ABSA) aims to identify the of an aspect in a given sentence and thus can provide people with comprehensive information. However, many conventional methods need help discover linguistic knowledge implicit sentences. Additionally, they are susceptible unrelated words. To improve performance model ABSA task, multi-task based on Bidirectional Encoder Representation from Transformers (BERT) Knowledge Graph (SABKG) is proposed this paper. Expressly, part-of-speech...