| 1 |
Enhanced treatment of landfill leachate wastewater using sono(US)-ozone(O-3)-electrocoagulation(EC) process: role of process parameters on color, COD and electrical energy consumption
Asaithambi P, Govindarajan R, Yesuf MB, Selvakumar P, Alemayehu E
Process Safety and Environmental Protection, 142, 212, 2020 |
| 2 |
Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming
Kaboli SHA, Fallahpour A, Selvaraj J, Rahim NA
Energy, 126, 144, 2017 |
| 3 |
ECritical analysis of the energy performance indicators for road lighting systems in historical towns of central Italy
Leccese F, Salvadori G, Rocca M
Energy, 138, 616, 2017 |
| 4 |
Impact of integrating desiccant dehumidification processes to conventional AC system on urban microclimate and energy use in Beirut city
Ghaddar Z, Ghali K, Ghaddar N
Energy Conversion and Management, 153, 374, 2017 |
| 5 |
Electrochemical reforming of dimethoxymethane in a Proton Exchange Membrane Electrolysis Cell: A way to generate clean hydrogen for low temperature fuel cells
Guenot B, Cretin M, Lamy C
International Journal of Hydrogen Energy, 42(47), 28128, 2017 |
| 6 |
Removal of ciprofloxacin from hospital wastewater using electrocoagulation technique by aluminum electrode: Optimization and modelling through response surface methodology
Ahmadzadeh S, Asadipour A, Pournamdari M, Behnam B, Rahimi HR, Dolatabadi M
Process Safety and Environmental Protection, 109, 538, 2017 |
| 7 |
Modelling of electrical energy consumption in an electric arc furnace using artificial neural networks
Gajic D, Savic-Gajic I, Savic I, Georgieva O, Di Gennaro S
Energy, 108, 132, 2016 |
| 8 |
Performance evaluation of hybrid electrocoagulation process parameters for the treatment of distillery industrial effluent
Asaithambi P, Sajjadi B, Aziz ARA, Daud WMAB
Process Safety and Environmental Protection, 104, 406, 2016 |
| 9 |
Long-term electrical energy consumption forecasting for developing and developed economies based on different optimized models and historical data types
Ardakani FJ, Ardehali MM
Energy, 65, 452, 2014 |
| 10 |
Novel effects of demand side management data on accuracy of electrical energy consumption modeling and long-term forecasting
Ardakani FJ, Ardehali MM
Energy Conversion and Management, 78, 745, 2014 |
