PengWANG
Basic Information:
Born in October 1988, Ph.D.,
Email：wangpeng@ncwu.edu.cn
Scientific Research:
(1)Conditionmonitoring and fault diagnosis of thermal processes
(2) Characteristic analysis and operation optimization of thermal power units
(3) Modeling and Control of Energy Power Systems
Education：
Sep, 2016 -Mar, 2023 Doctor in Power Engineering and Engineering Thermophysics,Southeast University, China
Sep, 2014 - Jun, 2016 Master in Thermal Engineering, North China Electric Power University, China
Sep, 2010 - Jun, 2014 Bachelor inThermal Energy and Power Engineering, North China Electric Power University, China
Representative Publications:
Wang P., Si F., Cao Y., et al. Prediction of superheated steam temperature for thermal power plants using a novel integrated method based on the hybrid model and attention mechanism. Appl. Therm. Eng., 2022, 203: 117899. (SCI)
Wang P, Ren S*, Wang Y, et al. Quality-related nonlinear process monitoring of power plant by a novel hybrid model based on variational autoencoder[J]. Control Engineering Practice, 2022, 129: 105359. (SCI)
Wang P, Si FQ, Fan W, Shao Z, Ren SJ. Data Enhancement for Data-Driven Modeling in Power Plants Based on a Conditional Variational-Adversarial Generative Network[J]. Industrial & Engineering Chemistry Research, 2021, 60(24): 8829-8843.
Wang P, Si F. Dynamic Prediction of the Thermal Nonlinear Process Based on Deep Hybrid Neural Network. ICPEME 2020, 2020. (EI)
Gu, J., Wang, P., Bai, Z., & Zhang, Y. (2017). Study on Superheat Degree Dynamic Response of Ultra Supercritical Unit’s Intermediate Point Caused by Primary Frequency Regulation. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 37(12), 3525–3534. (EI)
Li, P., Wang, P., Zhou, J., Wang, X., & Si, F. (2018). Circulating Water System Operation Optimization of Cogeneration Units Based on Adaptive Model. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 38(18), 5500–5509. (EI)