Clustering based methods for solar power forecasting. - Zheng Wang 040; Irena Koprinska; Mashud Rana (IJCNN, 2016)

Solar Power Forecasting Using Pattern Sequences. - Zheng Wang 040; Irena Koprinska; Mashud Rana (ICANN (2), 2017)

Solar power prediction with data source weighted nearest neighbors. - Zheng Wang 040; Irena Koprinska (IJCNN, 2017)

Solar power prediction using weather type pair patterns. - Zheng Wang 040; Irena Koprinska; Mashud Rana (IJCNN, 2017)

Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks. - Zheng Wang 040; Irena Koprinska (ICANN (1), 2018)

Convolutional Neural Networks for Energy Time Series Forecasting. - Irena Koprinska; Dengsong Wu; Zheng Wang 040 (IJCNN, 2018)

Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. - Zheng Wang 040; Irena Koprinska; Alicia Troncoso; Francisco Martínez-Álvarez (IJCNN, 2018)

Deep Learning for Big Data Time Series Forecasting Applied to Solar Power. - José F. Torres; Alicia Troncoso; Irena Koprinska; Zheng Wang 040; Francisco Martínez-Álvarez (SOCO-CISIS-ICEUTE, 2018)

Learning deep representation for trajectory clustering. - Di Yao 001; Chao Zhang 014; Zhihua Zhu; Qin Hu 001; Zheng Wang 040; Jian-Hui Huang; Jingping Bi (Expert Syst. J. Knowl. Eng., 2018)

Big data solar power forecasting based on deep learning and multiple data sources. - José F. Torres; Alicia Troncoso; Irena Koprinska; Zheng Wang 040; Francisco Martínez-Álvarez (Expert Syst. J. Knowl. Eng., 2019)

Solar Power Forecasting. - Zheng Wang 040 (2019)