| 1 |
A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community
Li Y, Wen Z, Cao YJ, Tan Y, Sidorov D, Panasetsky D
Energy, 129, 216, 2017 |
| 2 |
Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods
Zhang YC, Liu KP, Qin L, An XL
Energy Conversion and Management, 112, 208, 2016 |
| 3 |
Short-term wind power combined forecasting based on error forecast correction
Liang ZT, Liang J, Wang CF, Dong XM, Miao XF
Energy Conversion and Management, 119, 215, 2016 |
| 4 |
A study on the characteristics, predictions and policies of China's eight main power grids
Wang JZ, Dong Y, Jiang H
Energy Conversion and Management, 86, 818, 2014 |
| 5 |
ARMA based approaches for forecasting the tuple of wind speed and direction
Erdem E, Shi J
Applied Energy, 88(4), 1405, 2011 |
| 6 |
An overview of accident forecasting methodologies
Zheng XP, Liu MT
Journal of Loss Prevention in The Process Industries, 22(4), 484, 2009 |
