Shaolong Sun

发表

A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia‐Pacific region

Shouyang Wang, Chengyuan Zhang, Fuxin Jiang, 2020, 2002.09201.

Interval decomposition ensemble approach for crude oil price forecasting

Shouyang Wang, Shaolong Sun, Yunjie Wei, 2018, Energy Economics.

New developments in wind energy forecasting with artificial intelligence and big data: A scientometric insight

Shaolong Sun, Erlong Zhao, Shouyang Wang, 2022, Data Science and Management.

A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting

Shaolong Sun, Jingyun Sun, Panpan Zhao, 2022, Resources Policy.

Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning

Bingzhen Sun, Yongwu Li, Shaolong Sun, 2022, Appl. Soft Comput..

Historical pattern recognition with trajectory similarity for daily tourist arrivals forecasting

Shaolong Sun, Erlong Zhao, Pei Du, 2022, Expert Syst. Appl..

Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm

Chengyuan Zhang, Shaolong Sun, Shouyang Wang, 2022, Expert Syst. Appl..

Improving multi-step ahead tourism demand forecasting: A strategy-driven approach

Chengyuan Zhang, Shaolong Sun, Shouyang Wang, 2022, Expert Syst. Appl..

Multi-Perspective Crude Oil Price Forecasting with a New Decomposition-Ensemble Framework

Shaolong Sun, Zhengling Zhao, Jingyun Sun, 2022, SSRN Electronic Journal.

A novel two-stage seasonal grey model for residential electricity consumption forecasting

Shaolong Sun, Shouyang Wang, Pei Du, 2022, Energy.

How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach

Chengyuan Zhang, Shaolong Sun, Shouyang Wang, 2022, Expert Syst. Appl..

The impact of COVID-19 on hotel customer satisfaction: evidence from Beijing and Shanghai in China

Shouyang Wang, G. Feng, Chengyuan Zhang, 2021, International Journal of Contemporary Hospitality Management.

Short-Term Load Forecasting with an Improved Dynamic Decomposition-Reconstruction-Ensemble Approach

Shaolong Sun, Shouyang Wang, Ju'e Guo, 2022, SSRN Electronic Journal.

The capital flow of stock market studies based on epidemic model with double delays

Shaolong Sun, Qi Zhou, Qian Liu, 2019, Physica A: Statistical Mechanics and its Applications.

A novel deep learning approach for tourism volume forecasting with tourist search data

Chengyuan Zhang, Shaolong Sun, Mingchen Li, 2022, International Journal of Tourism Research.

Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19

Chengyuan Zhang, Shaolong Sun, Shouyang Wang, 2022, Current Issues in Tourism.

A decomposition clustering ensemble learning approach for forecasting foreign exchange rates

Kin Keung Lai, Jian Ma, Shaolong Sun, 2019, Journal of Management Science and Engineering.

A KELM-Based Ensemble Learning Approach for Exchange Rate Forecasting

Kin Keung Lai, Shaolong Sun, Yunjie Wei, 2018, Journal of Systems Science and Information.

Interval forecasting of exchange rates: a new interval decomposition ensemble approach

Shouyang Wang, Shaolong Sun, Yunjie Wei, 2020 .

An Adaptive Decomposition Ensemble Learning Approach for Metro Passenger Flow Forecasting

Shouyang Wang, Shaolong Sun, Ju'e Guo, 2021 .

AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting pdf

Gengzhong Feng, Shaolong Sun, Dongchuan Yang, 2020, ArXiv.

A new secondary decomposition ensemble learning approach for carbon price forecasting

Shaolong Sun, Yongwu Li, Hongtao Li, 2021, Knowl. Based Syst..

Forecasting crude oil price with a new hybrid approach and multi-source data

Yifan Yang, Shaolong Sun, Ju'e Guo, 2021, Eng. Appl. Artif. Intell..

Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight pdf

Jie Li, Shaolong Sun, Shouyang Wang, 2020, Frontiers in Energy Research.

A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting

Shaolong Sun, Fengting Zhang, Kun Jin, 2022, Eng. Appl. Artif. Intell..

Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach

Yongwu Li, Shaolong Sun, Hongtao Li, 2022, Appl. Soft Comput..

A new dynamic integrated approach for wind speed forecasting

Shaolong Sun, Han Qiao, Shouyang Wang, 2017 .

A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting

Shaolong Sun, Mingfei Niu, Yu Liu, 2018 .

Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method

Shaolong Sun, Fuxin Jiang, Chengyuan Zhang, 2021, Appl. Soft Comput..

Forecasting air passenger demand with a new hybrid ensemble approach

Hongtao Li, Feng Jin, Yongwu Li, 2020 .

Identifying environmental and health threats in unconventional oil and gas violations: evidence from Pennsylvania compliance reports

Shouyang Wang, Dan Bi, Shaolong Sun, 2021, Environmental Science and Pollution Research.

Urban and rural differences with regional assessment of household energy consumption in China

Shubin Wang, Shaolong Sun, Erlong Zhao, 2021 .

A new hybrid optimization ensemble learning approach for carbon price forecasting

Shaolong Sun, Yongwu Li, Hongtao Li, 2021 .

Forecasting tourist arrivals with machine learning and internet search index

Shouyang Wang, Kwok-Leung Tsui, Shaolong Sun, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Sparse Self-Attention LSTM for Sentiment Lexicon Construction

Shaolong Sun, Dong Deng, Liping Jing, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Tourism demand forecasting and tourists’ search behavior: Evidence from segmented Baidu search volume

Shaolong Sun, Yifan Yang, Ju’e Guo, 2021, Data Science and Management.

Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model

Hongbo Duan, Shouyang Wang, Quanying Lu, 2021, Energy Inform..

An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting

Shouyang Wang, Shaolong Sun, Dongchuan Yang, 2022, Applied Energy.

A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting

Yufang Wang, Yongwu Li, Shaolong Sun, 2016 .

A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting

Shouyang Wang, Shaolong Sun, Yunjie Wei, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A new multiscale decomposition ensemble approach for forecasting exchange rates

Shouyang Wang, Shaolong Sun, Yunjie Wei, 2019, Economic Modelling.

Evolutionary support vector machine for RMB exchange rate forecasting

Hongtao Li, Shaolong Sun, Sibao Fu, 2019, Physica A: Statistical Mechanics and its Applications.

AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting

Shouyang Wang, Shaolong Sun, Yunjie Wei, 2018, ICCS.

Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2.5 concentration forecasting.

Shaolong Sun, Fengying Li, Mingfei Niu, 2017, Journal of environmental management.

A secondary-decomposition-ensemble learning paradigm for forecasting PM2.5 concentration

Shaolong Sun, Shouyang Wang, Yunjie Wei, 2018, Atmospheric Pollution Research.

A new ensemble deep learning approach for exchange rates forecasting and trading

Shaolong Sun, Shouyang Wang, Yunjie Wei, 2020, Adv. Eng. Informatics.

A novel machine learning-based electricity price forecasting model based on optimal model selection strategy

Shouyang Wang, Shaolong Sun, Yan Hao, 2022, Energy.

Air pollution forecasting with multivariate interval decomposition ensemble approach

Shouyang Wang, Shaolong Sun, Mingfei Niu, 2021, Atmospheric Pollution Research.

Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble

Shaolong Sun, Erlong Zhao, Shouyang Wang, 2022, Current Issues in Tourism.

Tourism demand forecasting: An ensemble deep learning approach

Shouyang Wang, Shaolong Sun, Yanzhao Li, 2021, Tourism Economics.

Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach

Shouyang Wang, Shaolong Sun, Yanzhao Li, 2020, ArXiv.

Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach pdf

Shaolong Sun, Dan Bi, Shouyang Wang, 2020, International Journal of Tourism Research.

A multi-step ahead point-interval forecasting system for hourly PM2.5

Shaolong Sun, Zhipeng Huang, Hongtao Li, 2023, Expert Systems with Applications.

An innovative ensemble learning air pollution early-warning system for China based on incremental extreme learning machine

Jiani Heng, Shaolong Sun, Mingfei Niu, 2021 .

New Research Trends in Unconventional Oil and Gas Environmental Issue: A Bibliometric Analysis pdf

Shaolong Sun, Dan Bi, Ju-e Guo, 2020, ArXiv.

Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis

Chengyuan Zhang, Shaolong Sun, Shouyang Wang, 2022, Environ. Model. Softw..

Decomposition Methods for Tourism Demand Forecasting: A Comparative Study

Shouyang Wang, Ling Tang, Chengyuan Zhang, 2021, Journal of Travel Research.

A New Decomposition Ensemble Learning Approach with Intelligent Optimization for PM2.5 Concentration Forecasting

Shaolong Sun, Guangyuan Xing, Jue Guo, 2020 .

A decomposition-clustering-ensemble learning approach for solar radiation forecasting

Shaolong Sun, Guowei Zhang, Shouyang Wang, 2018 .

A new forecasting system for high-speed railway passenger demand based on residual component disposing

Shaolong Sun, Hongtao Li, Wenxiu Cao, 2021 .

Nonlinear vector auto-regression neural network for forecasting air passenger flow

Kwok-Leung Tsui, Shaolong Sun, Shouyang Wang, 2019, Journal of Air Transport Management.

Sentiment Lexicon Construction With Hierarchical Supervision Topic Model

Jian Yu, Michael K. Ng, Liping Jing, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Knowledge mapping of tourism demand forecasting research

Chengyuan Zhang, Shouyang Wang, Shaolong Sun, 2020, Tourism Management Perspectives.

Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy

Shaolong Sun, Hongtao Li, Shouyang Wang, 2023, Applied Energy.

Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects

K. Chin, G. Feng, Shaolong Sun, 2022, Current Issues in Tourism.

A New PM 2.5 Concentration Forecasting system based on AdaBoost‐Ensemble System with Deep Learning Approach

Shaolong Sun, Shouyang Wang, Zhongfei Li, 2022, Journal of Forecasting.

Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm

Shouyang Wang, Shaolong Sun, Pei Du, 2021, Resources Policy.

Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach

K. Tsui, G. Feng, Yunhao Liu, 2021, Expert Syst. Appl..

PM2.5 concentration forecasting through a novel multi-scale ensemble learning approach considering intercity synergy

Yongwu Li, Shaolong Sun, Hongtao Li, 2022, Sustainable Cities and Society.

Emerging trends in online reviews research in hospitality and tourism: A scientometric update (2000−2020)

Shaolong Sun, Xi Zheng, Shouyang Wang, 2023, Tourism Management Perspectives.

An innovative integrated model using the singular spectrum analysis and nonlinear multi-layer perceptron network optimized by hybrid intelligent algorithm for short-term load forecasting

Lean Yu, Jianzhou Wang, Jing Wu, 2016 .

How time-inconsistent preferences influence venture capital exit decisions? A new perspective for grandstanding

Yongwu Li, Shaolong Sun, Yanzhao Li, 2022, Financial Innovation.

Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports pdf

Shouyang Wang, Shaolong Sun, Dan Bi, 2021, Environmental Development.

The relationship between attribute performance and customer satisfaction: An interpretable machine learning approach

Shaolong Sun, Shouyang Wang, Jing Wu, 2024, Data Science and Management.

Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach

Shaolong Sun, Erlong Zhao, Shouyang Wang, 2023, Tourism Management.

A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network pdf

Chengyuan Zhang, Shaolong Sun, Jingyun Sun, 2020, ArXiv.

A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting

Shaolong Sun, Zhengling Zhao, Shouyang Wang, 2023, Energy.