| 1 |
Auto-regressive modeling with dynamic weighted canonical correlation analysis
Zhu QQ
Journal of Process Control, 95, 32, 2020 |
| 2 |
The impact of EU's energy labeling policy: An econometric analysis of increased transparency in the market for cold appliances in Denmark
Bjerregaard C, Moller NF
Energy Policy, 128, 891, 2019 |
| 3 |
Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
Aasim, Singh SN, Mohapatra A
Renewable Energy, 136, 758, 2019 |
| 4 |
Short-term wind speed forecasting by spectral analysis from long-term observations with missing values
Akcay H, Filik T
Applied Energy, 191, 653, 2017 |
| 5 |
Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm
Mi XW, Liu H, Li YF
Energy Conversion and Management, 151, 709, 2017 |
| 6 |
Implications of energy subsidy reform in India
Acharya RH, Sadath AC
Energy Policy, 102, 453, 2017 |
| 7 |
Linear and non-linear autoregressive models for short-term wind speed forecasting
Lydia M, Kumar SS, Selvakumar AI, Kumar GEP
Energy Conversion and Management, 112, 115, 2016 |
| 8 |
Improved week-ahead predictions of wind speed using simple linear models with wavelet decomposition
Kiplangat DC, Asokan K, Kumar KS
Renewable Energy, 93, 38, 2016 |
| 9 |
Most influential parametrical and data needs for realistic wind speed prediction
Agrawal A, Sandhu KS
Renewable Energy, 94, 452, 2016 |
| 10 |
On recent advances in PV output power forecast
Raza MQ, Nadarajah M, Ekanayake C
Solar Energy, 136, 125, 2016 |
