| 1 |
Evolving fuzzy time series for spatio-temporal forecasting in renewable energy systems
Severiano CA, Silva PCDE, Cohen MW, Guimaraes FG
Renewable Energy, 171, 764, 2021 |
| 2 |
Sub-hourly forecasting of wind speed and wind energy
Dupre A, Drobinski P, Alonzo B, Badosa J, Briard C, Plougonven R
Renewable Energy, 145, 2373, 2020 |
| 3 |
New approach to evaluating predictive models of photovoltaic systems
Dobreva P, van Dyk EE, Vorster FJ
Solar Energy, 204, 134, 2020 |
| 4 |
Short-term scenario-based probabilistic load forecasting: A data-driven approach
Khoshrou A, Pauwels EJ
Applied Energy, 238, 1258, 2019 |
| 5 |
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Liu H, Chen C
Applied Energy, 249, 392, 2019 |
| 6 |
Deep learning for multi-scale smart energy forecasting
Ahmad T, Chen HX
Energy, 175, 98, 2019 |
| 7 |
A systematic feature selection procedure for short-term data-driven building energy forecasting model development
Zhang L, Wen J
Energy and Buildings, 183, 428, 2019 |
| 8 |
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Liu H, Chen C, Lv XW, Wu X, Liu M
Energy Conversion and Management, 195, 328, 2019 |
| 9 |
Household air pollution mitigation with integrated biomass/cookstove strategies in Western Kenya
Carvalho RL, Lindgren R, Garcia-Lopez N, Nyambane A, Nyberg G, Diaz-Chavez R, Boman C
Energy Policy, 131, 168, 2019 |
| 10 |
A current perspective on the accuracy of incoming solar energy forecasting
Blaga R, Sabadus A, Stefu N, Dughir C, Paulescu M, Badescu V
Progress in Energy and Combustion Science, 70, 119, 2019 |
