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Hybrid harmony search algorithm and fuzzy mechanism for solving congestion management problem in an electricity market
Complexity 21 (S1):90-98 (2016)
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Citations of this work
Day-ahead price forecasting based on hybrid prediction model.Javad Olamaee, Mohsen Mohammadi, Alireza Noruzi & Seyed Mohammad Hassan Hosseini - 2016 - Complexity 21 (S2):156-164.
Net demand prediction for power systems by a new neural network-based forecasting engine.Oveis Abedinia & Nima Amjady - 2016 - Complexity 21 (S2):296-308.
Optimal economic load dispatch based on wind energy and risk constrains through an intelligent algorithm.Sina Ghaffari, Gholamreza Aghajani, Alireza Noruzi & Hadi Hedayati Mehr - 2016 - Complexity 21 (S2):494-506.
References found in this work
Multisignal histogram-based islanding detection using neuro-fuzzy algorithm.Mehrdad Tarafdar Hagh & Noradin Ghadimi - 2016 - Complexity 21 (1):195-205.
Optimal location and optimized parameters for robust power system stabilizer using honeybee mating optimization.Mohsen Mohammadi & Noradin Ghadimi - 2016 - Complexity 21 (1):242-258.
A new hybrid algorithm based on optimal fuzzy controller in multimachine power system.Noradin Ghadimi - 2016 - Complexity 21 (1):78-93.
Solving a novel multiobjective placement problem of recloser and distributed generation sources in simultaneous mode by improved harmony search algorithm.Roozbeh Morsali, Noradin Ghadimi, Mohammad Karimi & Saeed Mohajeryami - 2016 - Complexity 21 (1):328-339.
A new method for probabilistic assessments in power systems, combining monte carlo and stochastic-algebraic methods.Alireza Noruzi, Tohid Banki, Oveis Abedinia & Noradin Ghadimi - 2016 - Complexity 21 (2):100-110.
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