Siyuan Wang

ORCID: 0009-0006-1826-9990
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About
Contact & Profiles
Research Areas
  • Photovoltaic System Optimization Techniques
  • Solar Radiation and Photovoltaics
  • Power Systems and Renewable Energy
  • Climate change impacts on agriculture
  • Blood Pressure and Hypertension Studies
  • Rice Cultivation and Yield Improvement
  • Healthcare Systems and Public Health
  • Solar Thermal and Photovoltaic Systems
  • Artificial Intelligence in Healthcare and Education
  • Agricultural Systems and Practices

Shanghai Municipal Center For Disease Control Prevention
2024

Qinghai University
2016-2019

Abstract Artificial intelligence (AI) telephone is reliable for the follow‐up and management of hypertensives. It takes less time equivalent to manual a high degree. We conducted reliability study evaluate efficiency AI in hypertension. During May 18 June 30, 2020, 350 hypertensives managed by Pengpu Community Health Service Center Shanghai were recruited follow‐up, once human. The second was within 3–7 days (mean 5.5 days). mean length two calls compared paired t ‐test, Cohen's Kappa...

10.1111/jch.14823 article EN cc-by Journal of Clinical Hypertension 2024-05-22

As the solar photovoltaic (PV) power is applied extensively, more attentions are paid to maintenance and fault diagnosis of PV plants. Based on analysis structure station, global partitioned gradually approximation method proposed as a algorithm determine locate panels. The array divided into 16x16 blocks numbered. On basis modularly processing array, current values each block analyzed. mean value used for calculating weigh factor. threshold defined fault, shade considered reduce probability...

10.1088/1755-1315/40/1/012030 article EN IOP Conference Series Earth and Environmental Science 2016-08-01

Abstract Complicated ordering management and improper providing electricity are a problem encountered during the PV system generate electricity. Accurately predict output power is an effective approach for minimizing these problems. In this paper, electric exchange relationship of each link analysed, according to topology photovoltaic (PV) stations. We propose under prediction model power, based on theory current in high-altitude environment. The composite error could be calculated by...

10.1088/1755-1315/354/1/012006 article EN IOP Conference Series Earth and Environmental Science 2019-10-01
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