Prof. Dr. -Ing. habil. Hui Liu
Prof. Dr. -Ing. habil. Hui Liu
University of Rostock, Germany; Central South University, China
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Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction
H Liu, H Tian, Y Li
Applied Energy 98, 415-424, 2012
2972012
Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks
H Liu, H Tian, D Pan, Y Li
Applied Energy 107, 191-208, 2013
2472013
The global distribution and spread of the mobilized colistin resistance gene mcr-1
R Wang, L van Dorp, LP Shaw, P Bradley, Q Wang, X Wang, L Jin, ...
Nature communications 9 (1), 1-9, 2018
2362018
A hybrid statistical method to predict wind speed and wind power
H Liu, HQ Tian, C Chen, Y Li
Renewable energy 35 (8), 1857-1861, 2010
2362010
A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks
H Liu, C Chen, H Tian, Y Li
Renewable energy 48, 545-556, 2012
2302012
A peptide encoded by circular form of LINC-PINT suppresses oncogenic transcriptional elongation in glioblastoma
M Zhang, K Zhao, X Xu, Y Yang, S Yan, P Wei, H Liu, J Xu, F Xiao, H Zhou, ...
Nature communications 9 (1), 1-17, 2018
2082018
Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks
H Liu, H Tian, X Liang, Y Li
Applied Energy 157, 183-194, 2015
1752015
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
H Liu, X Mi, Y Li
Energy conversion and management 156, 498-514, 2018
1662018
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
H Liu, X Mi, Y Li
Energy Conversion and Management 159, 54-64, 2018
1432018
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions
H Liu, H Tian, Y Li, L Zhang
Energy Conversion and Management 92, 67-81, 2015
1262015
New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks
H Liu, H Tian, X Liang, Y Li
Renewable Energy 83, 1066-1075, 2015
1242015
Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions
H Liu, H Tian, Y Li
Energy Conversion and Management 89, 1-11, 2015
1132015
Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms
H Liu, H Tian, Y Li
Energy conversion and management 100, 16-22, 2015
1052015
Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network
H Liu, X Mi, Y Li
Energy Conversion and Management 166, 120-131, 2018
932018
A wind speed forecasting optimization model for wind farms based on time series analysis and Kalman filter algorithm
D Pan, H Liu, Y Li
Power System Technology 32 (7), 82-86, 2008
842008
The 3D CoNi alloy particles embedded in N-doped porous carbon foams for high-performance microwave absorbers
J Yan, Y Huang, C Chen, X Liu, H Liu
Carbon 152, 545-555, 2019
742019
An experimental investigation of two Wavelet-MLP hybrid frameworks for wind speed prediction using GA and PSO optimization
H Liu, H Tian, C Chen, Y Li
International Journal of Electrical Power & Energy Systems 52, 161-173, 2013
742013
Serotype distribution and antibiotic resistance of Salmonella in food-producing animals in Shandong province of China, 2009 and 2012
J Lai, C Wu, C Wu, J Qi, Y Wang, H Wang, Y Liu, J Shen
International journal of food microbiology 180, 30-38, 2014
702014
An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system
H Liu, H Tian, Y Li
Journal of Wind Engineering and Industrial Aerodynamics 141, 27-38, 2015
682015
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
H Liu, Z Duan, F Han, Y Li
Energy conversion and management 156, 525-541, 2018
662018
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