Guo-Feng Fan

According to our database, Guo-Feng Fan authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A hybrid model for deep learning short-term power load forecasting based on feature extraction statistics techniques.

Guo-Feng Fan, Ying-Ying Han, Jin-Wei Li, Li-Ling Peng, Yi-Hsuan Yeh, Wei-Chiang Hong

Expert Syst. Appl., March, 2024

Analysis and prediction of novel coronavirus pneumonia epidemic using hybrid response surface method with time-series and random forest.

Li-Ling Peng, Xiao-Feng Bi, Guo-Feng Fan, Ze-Ping Wang, Wei-Chiang Hong

J. Intell. Fuzzy Syst., January, 2024

2023

A new intelligent hybrid forecasting method for power load considering uncertainty.

Guo-Feng Fan, Ying-Ying Han, Jing-Jing Wang, Hao-Li Jia, Li-Ling Peng, Hsin-Pou Huang, Wei-Chiang Hong

Knowl. Based Syst., November, 2023

2022

Application of COEMD-S-SVR model in tourism demand forecasting and economic behavior analysis: The case of Sanya City.

Guo-Feng Fan, Xiang-Ru Jin, Wei-Chiang Hong

J. Oper. Res. Soc., 2022

2019

Application of GM (1, 1) and Seasonal Cross-Trend Model in the Forecast of Tourist Population in Sanya.

Guo-Feng Fan, Xiang-Ru Jin, Li-Ling Peng

Int. J. Appl. Evol. Comput., 2019

2017

Applications of SVR-PSO Model and Multivariate Linear Regression Model in PM2.5 Concentration Forecasting.

Guo-Feng Fan, Meng-Qi Liang, Jing-Ru Li, Wen-Lu Ma

Int. J. Appl. Evol. Comput., 2017

Evolution Mechanism of Atmospheric Pollution Based on Phase Reconstruction Theory and Time Series Data.

Guo-Feng Fan, Meng Han, Ya-Ting Wang, Jing-Ru Li

Int. J. Appl. Evol. Comput., 2017

2016

Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression.

Guo-Feng Fan, Li-Ling Peng, Wei-Chiang Hong, Fan Sun

Neurocomputing, 2016

2014

Kinetics for Reduction of Iron Ore Based on the Phase Space Reconstruction.

Guo-Feng Fan, Li-Ling Peng, Wei-Chiang Hong, Fan Sun

J. Appl. Math., 2014