Zheng Wang

According to our database, Zheng Wang authored at least 11 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Solar Power Forecasting.

Zheng Wang

PhD thesis, 2019

Big data solar power forecasting based on deep learning and multiple data sources.

José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez

Expert Syst. J. Knowl. Eng., 2019

2018

Learning deep representation for trajectory clustering.

Di Yao, Chao Zhang, Zhihua Zhu, Qin Hu, Zheng Wang, Jian-Hui Huang, Jingping Bi

Expert Syst. J. Knowl. Eng., 2018

Deep Learning for Big Data Time Series Forecasting Applied to Solar Power.

José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez

Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting.

Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Convolutional Neural Networks for Energy Time Series Forecasting.

Irena Koprinska, Dengsong Wu, Zheng Wang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Solar Power Forecasting Using Dynamic Meta-Learning Ensemble of Neural Networks.

Zheng Wang, Irena Koprinska

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Solar power prediction using weather type pair patterns.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Solar power prediction with data source weighted nearest neighbors.

Zheng Wang, Irena Koprinska

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Solar Power Forecasting Using Pattern Sequences.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Clustering based methods for solar power forecasting.

Zheng Wang, Irena Koprinska, Mashud Rana

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016