| 1 |
Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting
Peng T, Zhang C, Zhou JZ, Nazir MS
Renewable Energy, 156, 804, 2020 |
| 2 |
A novel probabilistic wind speed prediction approach using real time refined variational model decomposition and conditional kernel density estimation
Jiang Y, Huang GQ, Yang QS, Yan ZT, Zhang CF
Energy Conversion and Management, 185, 758, 2019 |
| 3 |
Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network
Sun W, Wang YW
Energy Conversion and Management, 157, 1, 2018 |
| 4 |
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
Liu H, Duan Z, Han FZ, Li YF
Energy Conversion and Management, 156, 525, 2018 |
| 5 |
Numerical simulation of pressure pulsation and transient flow field in an axial flow fan
Ye XM, Ding XL, Zhang JK, Li CX
Energy, 129, 185, 2017 |
| 6 |
Fault detection of the connection of lithium-ion power batteries based on entropy for electric vehicles
Yao L, Wang ZP, Ma J
Journal of Power Sources, 293, 548, 2015 |
| 7 |
Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles
Hu XS, Li SE, Jia ZZ, Egardt B
Energy, 64, 953, 2014 |
| 8 |
Remaining capacity estimation of Li-ion batteries based on temperature sample entropy and particle filter
Li JF, Lyu C, Wang LX, Zhang LQ, Li CH
Journal of Power Sources, 268, 895, 2014 |
| 9 |
Auxiliary health diagnosis method for lead-acid battery
Sun YH, Jou HL, Wu JC, Wu KD
Applied Energy, 87(12), 3691, 2010 |
| 10 |
Auxiliary diagnosis method for lead-acid battery health based on sample entropy
Sun YH, Jou HL, Wu JC
Energy Conversion and Management, 50(9), 2250, 2009 |
