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Microgrid sizing with combined evolutionary algorithm and MILP unit commitment Li B, Roche R, Miraoui A Applied Energy, 188, 547, 2017 |
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Exploring multi-objective trade-offs in the design space of a waste heat recovery system Mokhtar M, Burns S, Ross D, Hunt I Applied Energy, 195, 114, 2017 |
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Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation Li B, Roche R, Paire D, Miraoui A Applied Energy, 205, 1244, 2017 |
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Probing structural relaxation in nanosized catalysts by combining EXAFS and reverse Monte Carlo methods Timoshenko J, Frenkel AI Catalysis Today, 280, 274, 2017 |
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Multi-objective optimal power flow based on improved strength Pareto evolutionary algorithm Yuan XH, Zhang BQ, Wang PT, Liang J, Yuan YB, Huang YH, Lei XH Energy, 122, 70, 2017 |
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Multi-objective demand response to real-time prices (RTP) using a task scheduling methodology Cortes-Arcos T, Bernal-Agustin JL, Dufo-Lopez R, Lujano-Rojas JM, Contreras J Energy, 138, 19, 2017 |
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A hybrid evolutionary algorithm for secure multi-objective distribution feeder reconfiguration Azizivahed A, Narimani H, Naderi E, Fathi M, Narimani MR Energy, 138, 355, 2017 |
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Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO2-crude oil minimum miscibility pressure Karkevandi-Talkhooncheh A, Hajirezaie S, Hemmati-Sarapardeh A, Husein MM, Karan K, Sharifi M Fuel, 205, 34, 2017 |
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An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed Zhao J, Guo ZH, Su ZY, Zhao ZY, Xiao X, Liu F Applied Energy, 162, 808, 2016 |