1.A multivariable hybrid prediction system of wind power based on outlier test and innovative multi-objective optimization

Guo, HG, Wang, JZ, L     More...

Guo, HG, Wang, JZ, Li, ZW, Jin, Y     Less

ENERGY[0360-5442], Published 2022, Volume 239,

收錄情况： WOS SCOPUS

WOS核心合集引用: 24  2022影響因子:  9.0  发表年影響因子:  9.0 

2.A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting

Wang, Jianzhou, An,     More...

Wang, Jianzhou, An, Yining, Li, Zhiwu, Lu, Haiyan     Less

Energy[0360-5442], Published 2022, Volume 251,

收錄情况： WOS SCOPUS

WOS核心合集引用: 26  2022影響因子:  9.0  发表年影響因子:  9.0 

3.A novel combined model for wind speed prediction - Combination of linear model, shallow neural networks, and deep learning approaches

Wang, S, Wang, JZ, L     More...

Wang, S, Wang, JZ, Lu, HY, Zhao, WG     Less

ENERGY[0360-5442], Published 2021, Volume 234,

收錄情况： WOS SCOPUS

WOS核心合集引用: 64  2022影響因子:  9.0  发表年影響因子:  8.857 

4.Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction

Wang, Y, Wang, JZ, L     More...

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

ENERGY[0360-5442], Published 2021, Volume 231,

收錄情况： WOS SCOPUS

WOS核心合集引用: 40  2022影響因子:  9.0  发表年影響因子:  8.857 

5.Comparison of seven methods for determining the optimal statistical distribution parameters: A case study of wind energy assessment in the large-scale wind farms of China

Wang, JZ, Huang, XJ,     More...

Wang, JZ, Huang, XJ, Li, QW, Ma, XJ     Less

ENERGY[0360-5442], Published 2018, Volume 164, Pages 432-448

收錄情况： WOS SCOPUS

WOS核心合集引用: 41  2022影響因子:  9.0  发表年影響因子:  5.537 

6.Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system

Wang, JZ, Yang, WD,     More...

Wang, JZ, Yang, WD, Du, P, Li, YF     Less

ENERGY[0360-5442], Published 2018, Volume 148, Pages 59-78

收錄情况： WOS SCOPUS

WOS核心合集引用: 107  2022影響因子:  9.0  发表年影響因子:  5.537 

7.Analysis and forecasting of the oil consumption in China based on combination models optimized by artificial intelligence algorithms

Li, JR, Wang, R, Wan     More...

Li, JR, Wang, R, Wang, JZ, Li, YF     Less

ENERGY[0360-5442], Published 2018, Volume 144, Pages 243-264

收錄情况： WOS SCOPUS

WOS核心合集引用: 50  2022影響因子:  9.0  发表年影響因子:  5.537 

8.Research and application of a combined model based on multi objective optimization for multi-step ahead wind speed forecasting

Wang, JZ, Heng, JN,     More...

Wang, JZ, Heng, JN, Xiao, LY, Wang, C     Less

ENERGY[0360-5442], Published 2017, Volume 125, Pages 591-613

收錄情况： WOS SCOPUS

WOS核心合集引用: 106  2022影響因子:  9.0  发表年影響因子:  4.968 

9.Short-term wind speed forecasting using a hybrid model

Jiang, P, Wang, Y, W     More...

Jiang, P, Wang, Y, Wang, JZ     Less

ENERGY[0360-5442], Published 2017, Volume 119, Pages 561-577

收錄情况： WOS SCOPUS

WOS核心合集引用: 101  2022影響因子:  9.0  发表年影響因子:  4.968 

10.A robust combination approach for short-term wind speed forecasting and analysis - Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

Wang, JZ, Hu, JM     More...

Wang, JZ, Hu, JM     Less

ENERGY[0360-5442], Published 2015, Volume 93, Pages 41-56

收錄情况： WOS SCOPUS

WOS核心合集引用: 226  2022影響因子:  9.0  发表年影響因子:  4.292 

11.Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression

Hu, JM, Wang, JZ     More...

Hu, JM, Wang, JZ     Less

ENERGY[0360-5442], Published 2015, Volume 93, Pages 1456-1466

收錄情况： WOS SCOPUS

WOS核心合集引用: 157  2022影響因子:  9.0  发表年影響因子:  4.292 

12.A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China

Wang, Y, Wang, JZ, W     More...

Wang, Y, Wang, JZ, Wei, X     Less

ENERGY[0360-5442], Published 2015, Volume 91, Pages 556-572

收錄情况： WOS SCOPUS

WOS核心合集引用: 110  2022影響因子:  9.0  发表年影響因子:  4.292 

13.A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting

Xiao, LY, Wang, JZ,     More...

Xiao, LY, Wang, JZ, Hou, R, Wu, J     Less

ENERGY[0360-5442], Published 2015, Volume 82, Pages 524-549

收錄情况： WOS SCOPUS

WOS核心合集引用: 110  2022影響因子:  9.0  发表年影響因子:  4.292 

14.A hybrid technique for short-term wind speed prediction

Hu, JM, Wang, JZ, Ma     More...

Hu, JM, Wang, JZ, Ma, KL     Less

ENERGY[0360-5442], Published 2015, Volume 81, Pages 563-574

收錄情况： WOS SCOPUS

WOS核心合集引用: 103  2022影響因子:  9.0  发表年影響因子:  4.292 

15.Forecasting solar radiation using an optimized hybrid model by Cuckoo Search algorithm

Wang, JZ, Jiang, H,     More...

Wang, JZ, Jiang, H, Wu, YJ, Dong, Y     Less

ENERGY[0360-5442], Published 2015, Volume 81, Pages 627-644

收錄情况： WOS SCOPUS

WOS核心合集引用: 78  2022影響因子:  9.0  发表年影響因子:  4.292 

16.A hybrid forecasting model based on outlier detection and fuzzy time series - A case study on Hainan wind farm of China

Wang, JZ, Xiong, SH     More...

Wang, JZ, Xiong, SH     Less

ENERGY[0360-5442], Published 2014, Volume 76, Pages 526-541

收錄情况： WOS SCOPUS

WOS核心合集引用: 53  2022影響因子:  9.0  发表年影響因子:  4.844 

17.Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting

An, N, Zhao, WG, Wan     More...

An, N, Zhao, WG, Wang, JZ, Shang, D, Zhao, ED     Less

ENERGY[0360-5442], Published 2013, Volume 49, Issue 1, Pages 279-288

收錄情况： WOS SCOPUS

WOS核心合集引用: 149  2022影響因子:  9.0  发表年影響因子:  4.159 

18.An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting

Che, JX, Wang, JZ, W     More...

Che, JX, Wang, JZ, Wang, GF     Less

ENERGY[0360-5442], Published 2012, Volume 37, Issue 1, Pages 657-664

收錄情况： WOS SCOPUS

WOS核心合集引用: 89  2022影響因子:  9.0  发表年影響因子:  3.651 

19.A corrected hybrid approach for wind speed prediction in Hexi Corridor of China

Guo, ZH, Zhao, J, Zh     More...

Guo, ZH, Zhao, J, Zhang, WY, Wang, JZ     Less

ENERGY[0360-5442], Published 2011, Volume 36, Issue 3, Pages 1668-1679

收錄情况： WOS SCOPUS

WOS核心合集引用: 123  2022影響因子:  9.0  发表年影響因子:  3.487 

20.An efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherical ARTMAP network) neural network

Cai, YA, Wang, JZ, T     More...

Cai, YA, Wang, JZ, Tang, Y, Yang, YC     Less

ENERGY[0360-5442], Published 2011, Volume 36, Issue 2, Pages 1340-1350

收錄情况： WOS SCOPUS

WOS核心合集引用: 23  2022影響因子:  9.0  发表年影響因子:  3.487