Kai Chen

ORCID: 0000-0002-4779-7104
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About
Contact & Profiles
Research Areas
  • Building Energy and Comfort Optimization
  • Urban Heat Island Mitigation
  • Energy Load and Power Forecasting
  • Thyroid Cancer Diagnosis and Treatment
  • Heat Transfer and Optimization
  • Smart Parking Systems Research
  • Urban and Freight Transport Logistics
  • Urban Green Space and Health
  • Adsorption and Cooling Systems
  • Thyroid and Parathyroid Surgery
  • Neuroendocrine Tumor Research Advances
  • Thermoregulation and physiological responses
  • Smart Grid Energy Management
  • Transportation Planning and Optimization
  • Video Surveillance and Tracking Methods
  • Human Mobility and Location-Based Analysis
  • Infection Control and Ventilation
  • Data-Driven Disease Surveillance

National University of Singapore
2022-2024

Baidu (China)
2022

Guizhou Academy of Sciences
2020

Zhangjiagang First People's Hospital
2018

Southeast University
2018

Soochow University
2018

In order to improve the utilization efficiency of existing parking facility resources in city, lots administrative units were investigated where daily and weekly variation characteristics berths usage studied. Then, concept partitioning method shared space-time windows proposed. The constraint conditions defined detailed steps given. Finally, Nanjing Traffic Management Bureau are chosen as an example test verify method. results showed that there regularity, stability, obviously peak-valley...

10.1061/9780784481523.240 article EN CICTP 2021 2018-07-02

As an important part of internal and external connections, the building skin can not only beautify appearance building, but also improve energy-saving performance building. This article aims to sort out specific measures renovation from three aspects: peripheral protection structure, windows addition shading measures, analyses them in combination with typical cases.

10.1051/e3sconf/202019401023 article EN cc-by E3S Web of Conferences 2020-01-01

Urban region profiling can benefit urban analytics. Although existing studies have made great efforts to learn representation from multi-source data, there are still three limitations: (1) Most related methods focused merely on global-level inter-region relations while overlooking local-level geographical contextual signals and intra-region information; (2) previous works failed develop an effective yet integrated fusion module which deeply fuse multi-graph correlations; (3) State-of-the-art...

10.48550/arxiv.2202.02074 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Abstract The optimal operation of the air-cooled condenser (ACC) is crucial to thermal efficiency power plant, where heat transfer capacity ACC plays fundamental role. However, coefficient (HTC) usually unknown due its complexity under real conditions, and therefore relies on operator’s experience. Here prediction models HTC incorporating mechanisms machine learning algorithms are proposed. Approximately 1200 thousand data records from a plant China reduced used train models. Machine...

10.1115/ht2022-83767 article EN ASME 2003 Heat Transfer Summer Conference 2022-07-11
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