| 1 |
Multi objective large power system planning under sever loading condition using learning DE-APSO-PS strategy
Mahdad B, Srairi K
Energy Conversion and Management, 87, 338, 2014 |
| 2 |
Nonlinear multivariable modeling of locomotive proton exchange membrane fuel cell system
Li Q, Chen WR, Liu ZX, Guo A, Huang J
International Journal of Hydrogen Energy, 39(25), 13777, 2014 |
| 3 |
An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties
Bahmani-Firouzi B, Farjah E, Azizipanah-Abarghooee R
Energy, 50, 232, 2013 |
| 4 |
Control of proton exchange membrane fuel cell system breathing based on maximum net power control strategy
Li Q, Chen WR, Liu ZX, Guo A, Liu SK
Journal of Power Sources, 241, 212, 2013 |
| 5 |
A new hybrid evolutionary algorithm based on new fuzzy adaptive PSO and NM algorithms for Distribution Feeder Reconfiguration
Niknam T, Azadfarsani E, Jabbari M
Energy Conversion and Management, 54(1), 7, 2012 |
| 6 |
Fuzzy multi-objective reactive power clearing considering reactive compensation sources
Khazali AH, Kalantar M, Khazali A
Energy, 36(5), 3319, 2011 |
| 7 |
A novel hybrid particle swarm optimization for economic dispatch with valve-point loading effects
Niknam T, Mojarrad HD, Meymand HZ
Energy Conversion and Management, 52(4), 1800, 2011 |
| 8 |
A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem
Niknam T
Applied Energy, 87(1), 327, 2010 |
| 9 |
A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators
Niknam T, Firouzi BB, Ostadi A
Applied Energy, 87(6), 1919, 2010 |
| 10 |
Combined modeling for electric load forecasting with adaptive particle swarm optimization
Wang JZ, Zhu SL, Zhang WY, Lu HY
Energy, 35(4), 1671, 2010 |
