| Short-term solar irradiance forecasting using exponential smoothing state space model Z Dong, D Yang, T Reindl, WM Walsh Energy 55, 1104-1113, 2013 | 236 | 2013 |
| Solar irradiance forecasting using spatial-temporal covariance structures and time-forward kriging D Yang, C Gu, Z Dong, P Jirutitijaroen, N Chen, WM Walsh Renewable Energy 60, 235-245, 2013 | 159 | 2013 |
| A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance Z Dong, D Yang, T Reindl, WM Walsh Energy 82, 570-577, 2015 | 146 | 2015 |
| Very short term irradiance forecasting using the lasso D Yang, Z Ye, LHI Lim, Z Dong Solar Energy 114, 314-326, 2015 | 145 | 2015 |
| Satellite image analysis and a hybrid ESSS/ANN model to forecast solar irradiance in the tropics Z Dong, D Yang, T Reindl, WM Walsh Energy Conversion and Management 79, 66-73, 2014 | 128 | 2014 |
| Operational photovoltaics power forecasting using seasonal time series ensemble D Yang, Z Dong Solar Energy 166, 529-541, 2018 | 119 | 2018 |
| Solar irradiance forecasting using spatio-temporal empirical kriging and vector autoregressive models with parameter shrinkage D Yang, Z Dong, T Reindl, P Jirutitijaroen, WM Walsh Solar Energy 103, 550-562, 2014 | 104 | 2014 |
| Evaluation of transposition and decomposition models for converting global solar irradiance from tilted surface to horizontal in tropical regions D Yang, Z Dong, A Nobre, YS Khoo, P Jirutitijaroen, WM Walsh Solar Energy 97, 369-387, 2013 | 72 | 2013 |
| Analyzing big time series data in solar engineering using features and PCA D Yang, Z Dong, LHI Lim, L Liu Solar Energy 153, 317-328, 2017 | 46 | 2017 |
| Block matching algorithms: Their applications and limitations in solar irradiance forecasting Y Dazhi, WM Walsh, D Zibo, P Jirutitijaroen, TG Reindl Energy Procedia 33, 335-342, 2013 | 26 | 2013 |
| Combine Deep Neural Network and Tree Based Machine Learning Models Using Stacked Generalization to Forecast Hourly Solar Irradiance in Tropical Regions Z Dong, L Zhao, D Yang, T Reindl 33rd European Photovoltaic Solar Energy Conference Proceedings, 2017 | 4 | 2017 |
| Deep learning solution for intra-day solar irradiance fore casting in tropical high variability regions Z Dong, D Yang, J Yan, C Yu 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC)(A …, 2018 | 2 | 2018 |
| Supplementary materials for “Operational photovoltaics power forecasting using seasonal time series ensemble” D Yang, Z Dong | | 2018 |