1.Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting

Niu, T, Wang, JZ, Lu     More...

Niu, T, Wang, JZ, Lu, HY, Yang, WD, Du, P     Less

EXPERT SYSTEMS WITH APPLICATIONS[0957-4174], Published 2020, Volume 148,

收錄情况： WOS SCOPUS

WOS核心合集引用: 91  2023影響因子:  7.5  发表年影響因子:  6.954 

2.A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting

Wang, JZ, Niu, T, Lu     More...

Wang, JZ, Niu, T, Lu, HY, Yang, WD, Du, P     Less

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY[1949-3029], Published 2020, Volume 11, Issue 1, Pages 337-349

收錄情况： WOS SCOPUS

WOS核心合集引用: 98  2023影響因子:  8.7  发表年影響因子:  7.917 

3.Novel analysis-forecast system based on multi-objective optimization for air quality index

Li, HM, Wang, JZ, Li     More...

Li, HM, Wang, JZ, Li, RR, Lu, HY     Less

JOURNAL OF CLEANER PRODUCTION[0959-6526], Published 2019, Volume 208, Pages 1365-1383

收錄情况： WOS SCOPUS

WOS核心合集引用: 109  2023影響因子:  9.8  发表年影響因子:  7.246 

4.An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms

Wang, JZ, Niu, T, Lu     More...

Wang, JZ, Niu, T, Lu, HY, Guo, ZH, Yang, WD, Du, P     Less

APPLIED ENERGY[0306-2619], Published 2018, Volume 211, Pages 492-512

收錄情况： WOS SCOPUS

WOS核心合集引用: 78  2023影響因子:  10.1  发表年影響因子:  8.426 

5.Uncertainty modeling for chaotic time series based on optimal multi-input multi-output architecture: Application to offshore wind speed

Niu, T, Wang, JZ, Lu     More...

Niu, T, Wang, JZ, Lu, HY, Du, P     Less

ENERGY CONVERSION AND MANAGEMENT[0196-8904], Published 2018, Volume 156, Pages 597-617

收錄情况： WOS SCOPUS

WOS核心合集引用: 43  2023影響因子:  9.9  发表年影響因子:  7.181 

6.Intelligent multivariable air-quality forecasting system based on feature selection and modified evolving interval type-2 quantum fuzzy neural network

Wang, JZ, Li, HM, Ya     More...

Wang, JZ, Li, HM, Yang, HF, Wang, Y     Less

ENVIRONMENTAL POLLUTION[0269-7491], Published 2021, Volume 274,

收錄情况： WOS SCOPUS

WOS核心合集引用: 33  2023影響因子:  7.6  发表年影響因子:  9.988 

7.A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations

Liu, TX, Zhao, QJ, W     More...

Liu, TX, Zhao, QJ, Wang, JZ, Gao, YY     Less

RENEWABLE ENERGY[0960-1481], Published 2021, Volume 163, Pages 88-104

收錄情况： WOS SCOPUS

WOS核心合集引用: 14  2023影響因子:  9.0  发表年影響因子:  8.634 

8.A wind speed interval forecasting system based on constrained lower upper bound estimation and parallel feature selection

Li, Qiwei, Wang, Jia     More...

Li, Qiwei, Wang, Jianzhou, Zhang, Haipeng     Less

Knowledge-Based Systems[0950-7051], Published 2021, Volume 231,

收錄情况： WOS SCOPUS

WOS核心合集引用: 25  2023影響因子:  7.2  发表年影響因子:  8.139 

9.Multi-step air quality index forecasting via data preprocessing, sequence reconstruction, and improved multi-objective optimization algorithm

Wang, Y, Wang, JZ, L     More...

Wang, Y, Wang, JZ, Li, HM, Yang, HF, Li, ZW     Less

JOURNAL OF FORECASTING[0277-6693], Published 2022, Volume 41, Issue 7, Pages 1483-1511

收錄情况： WOS SCOPUS

WOS核心合集引用: 2  2023影響因子:  3.4  发表年影響因子:  3.4 

10.A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series

Gao, YY, Li, P, Yang     More...

Gao, YY, Li, P, Yang, HF, Wang, JZ     Less

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE[0952-1976], Published 2023, Volume 126,

收錄情况： WOS SCOPUS

WOS核心合集引用: 11  2023影響因子:  7.5  发表年影響因子:  7.5 

11.A novel hybrid forecasting model with feature selection and deep learning for wind speed research

Chen, XJ, Wang, Y, Z     More...

Chen, XJ, Wang, Y, Zhang, HT, Wang, JZ     Less

JOURNAL OF FORECASTING[0277-6693], Published 2024,

收錄情况： WOS SCOPUS

WOS核心合集引用: 3  2023影響因子:  3.4 

12.Spatio-temporal feature interpretable model for air quality forecasting

Yang, WH, Li, HM, Wa     More...

Yang, WH, Li, HM, Wang, JZ, Ma, HY     Less

ECOLOGICAL INDICATORS[1470-160X], Published 2024, Volume 167,

收錄情况： WOS SCOPUS

WOS核心合集引用: 1  2023影響因子:  7.0