1. A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition. (15th December 2019) Authors: Yin, Hao; Ou, Zuhong; Huang, Shengquan; Meng, Anbo Journal: Energy Issue: Volume 189(2019) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A high-performance crisscross search based grey wolf optimizer for solving optimal power flow problem. (15th June 2021) Authors: Meng, Anbo; Zeng, Cong; Wang, Peng; Chen, De; Zhou, Tianmin; Zheng, Xiaoying; Yin, Hao Journal: Energy Issue: Volume 225(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. A novel asexual-reproduction evolutionary neural network for wind power prediction based on generative adversarial networks. (1st November 2021) Authors: Yin, Hao; Ou, Zuhong; Zhu, Zibin; Xu, Xuancong; Fan, Jingmin; Meng, Anbo Journal: Energy conversion and management Issue: Volume 247(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network. (15th December 2022) Authors: Meng, Anbo; Chen, Shu; Ou, Zuhong; Xiao, Jianhua; Zhang, Jianfeng; Chen, Shun; Zhang, Zheng; Liang, Ruduo; Zhang, Zhan; Xian, Zikang; Wang, Chenen; Yin, Hao; Yan, Baiping Journal: Energy Issue: Volume 261:Part B(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. A novel network training approach for solving sample imbalance problem in wind power prediction. (1st May 2023) Authors: Meng, Anbo; Xian, Zikang; Yin, Hao; Luo, Jianqiang; Wang, Xiaolin; Zhang, Haitao; Rong, Jiayu; Li, Chen; Wu, Zhenbo; Xie, Zhifeng; Zhang, Zhan; Wang, Chenen; Chen, Yingjun Journal: Energy conversion and management Issue: Volume 283(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. A novel transfer learning approach for wind power prediction based on a serio-parallel deep learning architecture. (1st November 2021) Authors: Yin, Hao; Ou, Zuhong; Fu, Jiajin; Cai, Yongfeng; Chen, Shun; Meng, Anbo Journal: Energy Issue: Volume 234(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine. (1st December 2022) Authors: Meng, Anbo; Zhu, Zibin; Deng, Weisi; Ou, Zuhong; Lin, Shan; Wang, Chenen; Xu, Xuancong; Wang, Xiaolin; Yin, Hao; Luo, Jianqiang Journal: Energy Issue: Volume 260(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization. (15th October 2017) Authors: Yin, Hao; Dong, Zhen; Chen, Yunlong; Ge, Jiafei; Lai, Loi Lei; Vaccaro, Alfredo; Meng, Anbo Journal: Energy conversion and management Issue: Volume 150(2017) Page Start: 108 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. An efficient crisscross optimization solution to large-scale non-convex economic load dispatch with multiple fuel types and valve-point effects. (15th October 2016) Authors: Meng, Anbo; Li, Jinbei; Yin, Hao Journal: Energy Issue: Volume 113(2016) Page Start: 1147 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. An efficient crisscross optimization solution to large-scale non-convex economic load dispatch with multiple fuel types and valve-point effects. (15th October 2016) Authors: Meng, Anbo; Li, Jinbei; Yin, Hao Journal: Energy Issue: Volume 113(2016) Page Start: 1147 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗