| 1 |
A hybrid model based on modified multi-objective cuckoo search algorithm for short-term load forecasting
Wu ZC, Zhao XC, Ma YQ, Zhao X
Applied Energy, 237, 896, 2019 |
| 2 |
A novel hybrid model based on neural network and multi-objective optimization for effective load forecast
Singh P, Dwivedi P
Energy, 182, 606, 2019 |
| 3 |
Forecasting US shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model
Wang Q, Li SY, Li RR, Ma ML
Energy, 160, 378, 2018 |
| 4 |
A GPU deep learning metaheuristic based model for time series forecasting
Coelho IM, Coelho VN, Luz EJD, Ochi LS, Guimaraes FG, Rios E
Applied Energy, 201, 412, 2017 |
| 5 |
A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment
Coelho VN, Coelho IM, Coelho BN, Reis AJR, Enayatifar R, Souza MJF, Guimardes FG
Applied Energy, 169, 567, 2016 |
| 6 |
Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting
Xiao LY, Shao W, Wang C, Zhang KQ, Lu HY
Applied Energy, 180, 213, 2016 |
| 7 |
A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids
Liu N, Tang QF, Zhang JH, Fan W, Liu J
Applied Energy, 129, 336, 2014 |
