Dr. Xiwei Mi

Dr. Xiwei Mi

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Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2018 in Energy Conversion and Management

Journal Article

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

HL

Hui Liu

XM

YL

Yanfei Li

1 January 2018 in Energy Conversion and Management

Journal Article

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

HL

Hui Liu

XM

YL

Yan-Fei Li

1 June 2018 in Energy Conversion and Management

Journal Article

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

HL

Hui Liu

XM

YL

Yanfei Li

1 January 2019 in Energy Conversion and Management

Journal Article

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

XM

HL

Hui Liu

YL

Yanfei Li

1 December 2019 in Renewable Energy

Journal Article

Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression

HL

Hui Liu

XM

YL

Yanfei Li

ZD

Zhu Duan

YX

Yinan Xu

1 August 2018 in Renewable Energy

Journal Article

An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm

HL

Hui Liu

XM

YL

Yanfei Li

About Me

Xiwei Mi received the Master and Ph.D. degree in transportation engineering from Central South University, Changsha, China, in 2019. He is currently an Associate Professor in the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China. His main research interests include intelligent transportation system, time series prediction, and artificial intelligence. He has published 26 high-level papers and plenty of China patents in this domain.

Xiwei Mi received the Master and Ph.D. degree in transportation engineering from Central South University, Changsha, China, in 2019. He is currently an Associate Professor in the School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China. His main research interests include intelligent transportation system, time series prediction, and artificial intelligence. He has published 26 high-level papers and plenty of China patents in this domain.