Zhu Duan

发表

A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Concentrations, and Its Applications in China

Hui Liu, Zhu Duan, Huipeng Shi, 2020 .

Time-variant post-processing method for long-term numerical wind speed forecasts based on multi-region recurrent graph network

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

Multi-Objective Multi-Learner Robot Trajectory Prediction Method for IoT Mobile Robot Systems

Zhu Duan, Fei Peng, Li Zheng, 2022, Electronics.

A hybrid framework for forecasting PM2.5 concentrations using multi-step deterministic and probabilistic strategy

Chao Chen, Hui Liu, Zhu Duan, 2019, Air Quality, Atmosphere & Health.

Intelligent modeling strategies for forecasting air quality time series: A review

Hui Liu, Zhu Duan, Guangxi Yan, 2021, Appl. Soft Comput..

A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

Hui Liu, Zhu Duan, Haiping Wu, 2020 .

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 .

A review on multi-objective optimization framework in wind energy forecasting techniques and applications

Hui Liu, Ye Li, Chao Chen, 2020 .

Wind speed forecasting using a new multi-factor fusion and multi-resolution ensemble model with real-time decomposition and adaptive error correction

Rui Yang, Hui Liu, Zhu Duan, 2020 .

PM2.5 concentrations forecasting using a new multi-objective feature selection and ensemble framework

Hui Liu, Zhu Duan, Haiping Wu, 2020 .

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

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

Data multi-scale decomposition strategies for air pollution forecasting: A comprehensive review

Hui Liu, Chao Chen, Zhu Duan, 2020 .

A novel multiplex cascade classifier for pedestrian detection

Ajith Abraham, Hongbo Liu, Hong Tian, 2013, Pattern Recognit. Lett..

A novel AQI forecasting method based on fusing temporal correlation forecasting with spatial correlation forecasting

Hui Liu, Chengqing Yu, Zhu Duan, 2023, Atmospheric Pollution Research.

Hourly PM2.5 concentration multi-step forecasting method based on extreme learning machine, boosting algorithm and error correction model

Hui Liu, Zhu Duan, Shi Yin, 2021, Digit. Signal Process..

Air PM2.5 concentration multi-step forecasting using a new hybrid modeling method: Comparing cases for four cities in China

Hui Liu, Zhu Duan, Kairong Jin, 2019, Atmospheric Pollution Research.

A new crude oil futures forecasting method based on fusing quadratic forecasting with residual forecasting

Hui Liu, Chengqing Yu, Zhu Duan, 2022, Digit. Signal Process..

Wind speed forecasting using multi-scale feature adaptive extraction ensemble model with error regression correction

Chao Chen, Hui Liu, Jun Chen, 2022, Expert Syst. Appl..

Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoder

Hui Liu, Chao Chen, Zhu Duan, 2020 .

An evolution-dependent multi-objective ensemble model of vanishing moment with adversarial auto-encoder for short-term wind speed forecasting in Xinjiang wind farm, China

Hui Liu, Zhu Duan, Hui Liu, 2019, Energy Conversion and Management.

A hybrid multi-resolution multi-objective ensemble model and its application for forecasting of daily PM2.5 concentrations

Chao Chen, Hui Liu, Zhu Duan, 2020, Inf. Sci..

A novel hybrid model for multi-step daily AQI forecasting driven by air pollution big data

Hui Liu, Zhu Duan, Yinan Xu, 2020, Air Quality, Atmosphere & Health.

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.

A hybrid neural network model for marine dissolved oxygen concentrations time-series forecasting based on multi-factor analysis and a multi-model ensemble

Haiping Wu, Hui Liu, Zhu Duan, 2021 .

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

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

A novel two-stage deep learning wind speed forecasting method with adaptive multiple error corrections and bivariate Dirichlet process mixture model

Haiping Wu, Hui Liu, Chao Chen, 2019, Energy Conversion and Management.

Corrected multi-resolution ensemble model for wind power forecasting with real-time decomposition and Bivariate Kernel density estimation

Hui Liu, Zhu Duan, Hui Liu, 2020 .

Clustering and anomaly detection of crowd hotspot regions

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

A new integrated prediction method of river level based on spatiotemporal correlation

Zhu Duan, Mengshuai Su, Yanfei Li, 2023, Stochastic Environmental Research and Risk Assessment.