| 1 |
A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load forecasting
Singh P, Dwivedi P, Kant V
Energy, 174, 460, 2019 |
| 2 |
Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
Fan GF, Peng LL, Hong WC
Applied Energy, 224, 13, 2018 |
| 3 |
Short term electricity load forecasting using a hybrid model
Zhang JL, Wei YM, Li DZ, Tan ZF, Zhou JH
Energy, 158, 774, 2018 |
| 4 |
Load forecasting and dispatch optimisation for decentralised co-generation plant with dual energy storage
Short M, Crosbie T, Dawood M, Dawood N
Applied Energy, 186, 304, 2017 |
| 5 |
A seasonal direct optimal hybrid model of computational intelligence and soft computing techniques for electricity load forecasting
Chahkoutahi F, Khashei M
Energy, 140, 988, 2017 |
| 6 |
Deep belief network based electricity load forecasting: An analysis of Macedonian case
Dedinec A, Filiposka S, Dedinec A, Kocarev L
Energy, 115, 1688, 2016 |
| 7 |
Short-term electricity load forecasting of buildings in microgrids
Chitsaz H, Shaker H, Zareipour H, Wood D, Amjady N
Energy and Buildings, 99, 50, 2015 |
| 8 |
Machine learning based switching model for electricity load forecasting
Fan S, Chen L, Lee WJ
Energy Conversion and Management, 49(6), 1331, 2008 |
| 9 |
Hybrid ellipsoidal fuzzy systems in forecasting regional electricity loads
Pai PF
Energy Conversion and Management, 47(15-16), 2283, 2006 |
| 10 |
Support vector machines with simulated annealing algorithms in electricity load forecasting
Pai PF, Hong WC
Energy Conversion and Management, 46(17), 2669, 2005 |
