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Fang Wang
Title:
Lecturer
Education:
Ph.D
Research Area:
Application of Artificial Intelligence on The Energy Saving and System Optimization for Coal-fired Power Stations
Biography
Publications
Lecturer Fang Wang received her Master degree and PhD degree from Taiyuan University of Technology, China, in 2014,2019, respectively. She is presently working as a lecturer in the College of Electrical and Power Engineering, Taiyuan University of Technology. She focuses her research on the application of artificial intelligence on the energy saving and system optimization for coal-fired power stations.
(1) Fang Wang; Suxia Ma ; He Wang; Yaodong Li; Zhiguo Qin; Junjie Zhang; A hybrid model integrating improved flower pollination algorithm-based feature selection and improved random forest for NOx emission measurement of power plants, Measurement, 2018. 125: 303-312.
(2) Fang Wang; Suxia Ma ; He Wang; Yaodong Li; Junjie Zhang; Prediction of NOX emission for coal-fired boilers based on deep belief network, Control Engineering Practice, 2018, (80): 26-35.
(3) Fang Wang; Suxia Ma ; He Wang; Modelling carbon content in fly ash based on variable selection and flower pollination algorithm-optimized random forest. Thermal Power Generation,2018. 47(11): 89-95.
(4) Fang Wang, Xinying Xu, Gaowei Yan; Measurement of ball mill material level based on adaptive differential evolution algorithm-optimized extreme learning machine.Instrumentation and Sensors, 2015.(6): 143-145.
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