A5057967610- Building Energy and Comfort Optimization
- Heat Transfer and Optimization
- Wind and Air Flow Studies
- Energy Load and Power Forecasting
- Energy Efficiency and Management
- Heat Transfer and Boiling Studies
- Geothermal Energy Systems and Applications
- Smart Grid Energy Management
- Solar Energy Systems and Technologies
- Infection Control and Ventilation
- Adsorption and Cooling Systems
- Integrated Energy Systems Optimization
- Solar Thermal and Photovoltaic Systems
- BIM and Construction Integration
- Air Quality Monitoring and Forecasting
- Cloud Computing and Resource Management
- Speech and Audio Processing
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Electric Vehicles and Infrastructure
- Direction-of-Arrival Estimation Techniques
- Environmental Impact and Sustainability
- Sustainable Building Design and Assessment
- Refrigeration and Air Conditioning Technologies
- Advanced Data Storage Technologies
- Phase Change Materials Research
Chang'an University
2014-2025
Aalto University
2019-2024
Peking University Third Hospital
2024
Peking University
2024
Tongji University
2019-2023
Hebei Science and Technology Department
2023
University of Reading
2023
Shanghai Institute of Technology
2022
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2021
Wuhan University
2021
Accurately predicting the carbon price sequence is important and necessary for promoting development of China’s national trading market. In this paper, a multiscale ensemble forecasting model that based on empirical mode decomposition (EEMD-ADD) proposed to predict sequence. First, (EEMD) applied decompose sequence, SZA2013, into several intrinsic functions (IMFs) one residual. Second, IMFs residual are restructured via fine-to-coarse reconstruction algorithm generate three stationary...
The vehicle mass is a crucial state variable for achieving safe and energy-efficient driving, as it directly impacts the vehicle’s power performance, braking efficiency, handling stability. However, current methods frequently rely on particular operating conditions or supplementary sensors, which limits their ability to provide accurate, stable, convenient estimation. Moreover, form of public transportation, buses are subject stringent safety standards. frequent variations in passenger...
Abstract Indirect measurements using instrumented moving vehicles offer transformative potential for structural health monitoring of network-level bridges, providing operational efficiency and cost-effectiveness without disrupting traffic. Existing studies rely on simplified two-dimensional (2-D) vehicle bridge models, which fail to capture essential 3-D dynamics real-world systems—including aliased flexural-torsional mode shapes spatially distributed damage across longitudinal lateral...
During the pre-design stage of buildings, reliable long-term prediction thermal loads is significant for cooling/heating system configuration and efficient operation. This paper proposes a surrogate modeling method to predict all-year hourly in high resolution retail, hotel, office buildings. 16 384 models are simulated EnergyPlus generate load database, which contains 7 crucial building features as inputs outputs. K-nearest-neighbors (KNN) chosen data-driven algorithm approximate surrogates...
The penetration rates of intermittent renewable energies such as wind and solar energy have been increasing in power grids, often leading to a massive peak-to-valley difference the net load demand, known “duck curve”. demand supply should remain balanced real-time, however, traditional plants generally cannot output large range variable loads balance supply, resulting overgeneration grid. Meanwhile, generation hours plant are forced be curtailed, decrease efficiency. Building response (DR)...