Zongxi Qu

发表

Research and Application of the Mode Decomposition-Recombination Technique Based on Sample-Fuzzy Entropy and K-Means for Air Pollution Forecasting

Lili Wei, Yutong Li, Ch Niu, 2022, Frontiers in Environmental Science.

Forecasting New COVID-19 Cases and Deaths Based on an Intelligent Point and Interval System Coupled With Environmental Variables

Y. Sha, Qian Xu, Yutong Li, 2022, Frontiers in Ecology and Evolution.

An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting

Yutong Li, Ch Niu, Zongxi Qu, 2022, Expert Systems with Applications.

Environmental impact estimation of PM2.5 in representative regions of China from 2015 to 2019: policy validity, disaster threat, health risk, and economic loss

Xinyue Mo, Huan Li, Zongxi Qu, 2021, Air Quality, Atmosphere & Health.

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

Xu Fan, Kequan Zhang, Zongxi Qu, 2017 .

A Novel Air Quality Evaluation Paradigm Based on the Fuzzy Comprehensive Theory

Lei Zhang, Huan Li, Xinyue Mo, 2020, Applied Sciences.

Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network

Zhipeng Li, Kequan Zhang, Zongxi Qu, 2019, Renewable Energy.

Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting

Jianzhou Wang, Wenyu Zhang, Kequan Zhang, 2019, Renewable Energy.

Research and application of ensemble forecasting based on a novel multi-objective optimization algorithm for wind-speed forecasting

Cheng Liu, Jian Wang, Kequan Zhang, 2017 .

A Hybrid Model Based on Ensemble Empirical Mode Decomposition and Fruit Fly Optimization Algorithm for Wind Speed Forecasting

Jianzhou Wang, Kequan Zhang, Zongxi Qu, 2016 .

A Multivariate Deep Learning Model with Coupled Human Intervention Factors for COVID-19 Forecasting

Hongpeng Wang, Zongxi Qu, Beidou Zhang, 2023, Systems.

Uncertainty analysis–forecasting system based on decomposition–ensemble framework for PM2.5 concentration forecasting in China

Ch Niu, Zongxi Qu, Xiaogang Hao, 2023, Journal of Forecasting.