Yan-fei Li

发表

Simultaneous cathodic stripping voltammetric determination of mercury, cobalt, nickel and palladium by mixed binder carbon paste electrode containing dimethylglyoxime

Hui Liu, Zhengquan Zhang, Hong Zhang, 1996 .

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

Yanfei Li, Hui Liu, Mi Xiwei, 2018 .

Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions

Lei Zhang, Hui Liu, Hong-qi Tian, 2015 .

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

Hui Liu, Mi Xiwei, Yanfei Li, 2018 .

Smart cities for emergency management

Hui Liu, Yan-fei Li, 2020, Nature.

An experimental investigation of two Wavelet-MLP hybrid frameworks for wind speed prediction using GA and PSO optimization

Chao Chen, Hui Liu, Hong-qi Tian, 2013 .

Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks

Yanfei Li, Hui Liu, Mi Xiwei, 2018 .

New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks

Hui Liu, Xifeng Liang, Yanfei Li, 2015 .

Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions

Hui Liu, Hong-qi Tian, Yanfei Li, 2015 .

A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks

Chao Chen, Hui Liu, Hong-qi Tian, 2012 .

Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks

Hui Liu, Hong-qi Tian, Yanfei Li, 2013 .

Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks

Hui Liu, Xifeng Liang, Yanfei Li, 2015 .

An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system

Hui Liu, Hong-qi Tian, Yanfei Li, 2015 .

A novel ensemble model of different mother wavelets for wind speed multi-step forecasting

Hui Liu, Yanfei Li, Zhu Duan, 2018, Applied Energy.

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

Hui Liu, Mi Xiwei, Zhu Duan, 2019 .

Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

Yanfei Li, Hui Liu, Duan Zhu, 2018 .

Multi-step wind speed forecasting model based on wavelet matching analysis and hybrid optimization framework

Hui Liu, Haiping Wu, Yanfei Li, 2020 .

Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction

Haiping Wu, Yanfei Li, Hui Liu, 2018 .

Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction

Haiping Wu, Yanfei Li, Hui Liu, 2018, Energy Conversion and Management.

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

Yanfei Li, Hui Liu, Mi Xiwei, 2018 .

Global Energy Internet Green and Low-Carbon Energy Economic Innovation

Hui Liu, Rui Yang, N. Nikitas, 2022, Management for Professionals.

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

Hui Liu, Xiwei Mi, Yanfei Li, 2019, Energy Conversion and Management.

Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach

Hui Liu, Zhu Duan, Nikolaos Nikitas, 2022, Energy.

Hourly traffic flow forecasting using a new hybrid modelling method

Hui Liu, Chengqing Yu, Yan-fei Li, 2022, Journal of Central South University.

Hourly traffic flow forecasting using a new hybrid modelling method

Hui Liu, Chengqing Yu, Yan-fei Li, 2022, Journal of Central South University.

Deep residual convolutional neural network based on hybrid attention mechanism for ecological monitoring of marine fishery

Hui Liu, Lei Zhang, Yan-fei Li, 2023, Ecological Informatics.

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

Hui Liu, Hong-qi Tian, Yanfei Li, 2012 .

A new ensemble spatio-temporal PM2.5 prediction method based on graph attention recursive networks and reinforcement learning

Hui Liu, Yanfei Li, Chengqing Yu, 2022, Chaos, Solitons & Fractals.

Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms

Hui Liu, Yanfei Li, Hui Liu, 2015 .

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

Yanfei Li, Hui Liu, Mi Xiwei, 2018 .

A hybrid statistical method to predict wind speed and wind power

Chao Chen, Hui Liu, H. Tian, 2010 .

Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm

Hui Liu, Yanfei Li, Xiwei Mi, 2017 .

Wind speed forecasting models based on data decomposition, feature selection and group method of data handling network

Haiping Wu, Hui Liu, Yanfei Li, 2019, Measurement.

Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy

Hui Liu, Yanfei Li, Huipeng Shi, 2019, Renewable Energy.

A hybrid model for river water level forecasting: Cases of Xiangjiang River and Yuanjiang River, China

Hui Liu, Yanfei Li, Huipeng Shi, 2020 .

Multi-step traffic flow prediction using stacking ensemble learning model

Hui Liu, Yan-fei Li, Jingzhi Tan, 2021, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021).

Quantifying uncertainty of marine water quality forecasts for environmental management using a dynamic multi-factor analysis and multi-resolution ensemble approach.

Hui Liu, Rui Yang, Yan-fei Li, 2023, Chemosphere.

Clustering and anomaly detection of crowd hotspot regions

Chao Chen, Hui Liu, Zhu Duan, 2022, Smart Metro Station Systems.

A novel ensemble reinforcement learning gated unit model for daily PM2.5 forecasting

Hui Liu, Zheyu Liu, Yan-fei Li, 2020, Air Quality, Atmosphere & Health.

An ensemble self-learning framework combined with dynamic model selection and divide-conquer strategies for carbon emissions trading price forecasting

Hui Liu, Rui Yang, Yan-fei Li, 2023, Chaos, Solitons & Fractals.

Smart cities for emergency management

Yan-fei Li, Hui Liu, 2020, Nature.

A heterogeneous ensemble architecture coupling model selection sorting and residual error iterative correction for crude oil price forecasting

Rui Yang, Hui Liu, Yan-fei Li, 2023, Appl. Soft Comput..