{"id":111,"date":"2017-10-21T18:07:49","date_gmt":"2017-10-21T18:07:49","guid":{"rendered":"http:\/\/emrouznejad.com\/ali\/?page_id=111"},"modified":"2019-02-19T06:32:38","modified_gmt":"2019-02-19T06:32:38","slug":"applications","status":"publish","type":"page","link":"https:\/\/emrouznejad.com\/ali\/publications\/papers\/applications\/","title":{"rendered":"Applications"},"content":{"rendered":"\n\n\n
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Energy & Environment:<\/strong><\/span><\/h3>\n

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Emrouznejad, A.<\/u><\/strong> (2010). Guest Editor of special issue of IJESM in \u201cUses of Frontier Efficiency Methodologies and Multi-criteria Decision Making for Performance Measurement in the Energy Sector\u201d. International Journal of Energy Sector Management<\/em>, 4(3).<\/strong> Emerald Group Publishing Limited. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Ai, H., X. Tan, S.K. Mangla, A. Emrouznejad<\/strong>, F. Liu, and M. Song<\/span> (2025) Renewable energy transition and sustainable development: Evidence from China, Energy Economics, 143<\/span><\/span><\/strong>: 108232.<\/em>\u00a0(doi<\/a>)(Free Download<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Omrani, H., A. Emrouznejad<\/strong><\/span>, T. Teplova, A. Amini (2024) Efficiency Evaluation of Electricity Distribution Companies: Integrating Data Envelopment Analysis and Machine Learning for a Holistic Analysis, Engineering Applications of Artificial Intelligence<\/em>, 133:<\/strong> 108636.\u00a0(doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Omrani, H., A. Alizadeh, A. Emrouznejad<\/strong> and T. Teplova (2024) Data Envelopment Analysis Model with Decision Makers\u2019 Preferences: A Robust Credibility Approach. Annals of Operations Research,<\/em> \u00a0339<\/strong>:1269\u20131306.<\/strong> (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Emrouznejad, A<\/strong>., <\/strong>V. Panchmati, R. Gholami<\/span>, C. Rigsbee and , and H. B. Kartal (2023) Analysis of Smart Meter Data with Machine Learning for Implications Targeted towards Residents, International Journal of Urban Planning and Smart Cities<\/em>, 4 (1)<\/b>: 1-22. (doi)<\/a><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Taleb, M.<\/span>, , R. Khalid, A. Emrouznejad<\/strong>, R. Ramli (2023). Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero. Environment, Development and Sustainability, 25<\/b>: <\/em>6627\u20136656. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Khoshroo, A., M. Izadikhah, and A. Emrouznejad<\/u><\/strong> (2022), Total factor energy productivity considering undesirable pollutant outputs: A new double frontier based Malmquist productivity index, Energy<\/em>, 258 (1)<\/b>: 124819. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Oukil, A<\/span>., A. El-Bouri. and A. Emrouznejad<\/strong> (2022). Energy-aware job scheduling in a multi-objective production environment \u2013 An integrated DEA-OWA model, Computers & Industrial Engineering, 168: <\/strong><\/em>108065. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Gholami, R.<\/span>, R. Nishant and A. Emrouznejad<\/strong>,\u00a0 (2021) Modeling Residential Energy Consumption - An Application of IT-Based Solutions and Big Data Analytics for Sustainability, Journal of Global Information Management<\/em>, 29<\/strong> (2): 166-193. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Khoshroo, A. , M. Izadikhah, A. Emrouznejad<\/strong><\/span> (2021) Energy efficiency and congestion considering Data Envelopment Analysis and Bounded Adjusted Measure: A case of tomato production, Journal of Cleaner Production<\/em>, 328:<\/strong> 129639. (<\/span>doi<\/a>)<\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Chu, J<\/span>., C. Shao, A. Emrouznejad<\/strong>, J. Wu, Z. Yuan (2021). Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach,\u00a0Energy Economics,<\/em> 101<\/strong>: 105398. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Kaviani, M. A.<\/u>,\u00a0A. K. Yazdi, A. Emrouznejad<\/strong>, H. Sahebi (2020). A Binary Particle Swarm Optimization Algorithm for Ship Routing and Scheduling of Liquefied Natural Gas Transportation. Transportation Letters, <\/em>\u00a012 (4)<\/strong>: 223-232. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Li, F., A. Emrouznejad<\/strong><\/span>, G. Yang, Y. Li (2020) Carbon emission abatement quota allocation in Chinese manufacturing industries: An integrated cooperative game data envelopment analysis approach, Journal of the Operational Research Society, <\/em>71 (8)<\/strong>: 1259-1288\u00a0(doi<\/a>)<\/span><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Gholami, R.<\/span>, A. Emrouznejad<\/strong>, Y. Alnsour, H. B. Kartal, J. Veselova (2020) The Impact of Smart Meter Installation on Attitude Change towards Energy Consumption Behavior among Northern Ireland Households, Journal of Global Information Management<\/em>, 28<\/strong> (4): 21-37. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Emrouznejad A.<\/u><\/strong>, G. L. Yang and G. R. Amin (2019) A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries,\u00a0 Journal of the Operational Research Society, 70 (7)<\/b><\/em>: 1079-1090. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Mahmoudi, R.,\u00a0A. Emrouznejad<\/span>, <\/strong>H. Khosroshahi, M. Khashei, and P. Rajabi (2019), Performance evaluation of thermal power plants considering CO2 emission: A <\/span>multistage PCA, Clustering, Game theory and Data Envelopment Analysis, Journal of Cleaner Production, 223<\/strong><\/em> (20): 641-650. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Li, Y.<\/span>, Shi, X., Emrouznejad, A.,<\/strong> & Liang, L. (2018). Environmental performance evaluation of Chinese industrial systems: a network SBM approach, Journal of the Operational Research Society<\/em>, 69 (6)<\/strong>: 825-839. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Jin, M., X. Shi<\/span>, A. Emrouznejad<\/strong>, F. Yang (2018), Determining the optimal carbon tax rate based on data envelopment analysis, Journal of Cleaner Production<\/em>. 172<\/strong>: 900-908. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Khoshroo, A., M. Izadikhah, A. Emrouznejad<\/strong><\/span> (2018) Improving energy efficiency considering reduction of CO2 emission of turnip production: A novel data envelopment analysis model with undesirable output approach, Journal of Cleaner Production<\/em>, 187 (20)<\/strong>: 605-615. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Khoshroo, A., A. Emrouznejad<\/u><\/strong>, A. Ghaffarizadeh, M. Kasraei and M. Omid (2018) Sensitivity analysis of energy inputs in crop production using artificial neural networks, Journal of Cleaner Production<\/em>, 197 (1)<\/strong>: 992-998. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Omrani, H., A. Alizadeh and\u00a0A. Emrouznejad<\/u><\/strong>\u00a0(2018) Finding the optimal combination of power plants alternatives: a multi response Taguchi-neural network using TOPSIS and fuzzy best-worst method,\u00a0Journal of Cleaner Production<\/em>, (203<\/strong>): 210-223. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Mahmoudabadi, M. Z., A. Azar, A. Emrouznejad <\/u><\/strong>(2018), A novel multilevel network slacks-based measure with an application in electric utility companies, Energy, <\/em>158:<\/strong> 1120-1129. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Arabi, B., S. M. Munisamy, A. Emrouznejad<\/u><\/strong> and A. Khoshroo (2017) Eco-Efficiency Measurement and Material Balance Principle: an Application in Power Plants Malmquist Luenberger Index, Annals of Operations Research<\/em>, 255 (1-2)<\/strong>: 221\u2013239. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Emrouznejad, A<\/u><\/strong>., G. L.\u00a0Yang (2016) CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist\u2013Luenberger productivity index,\u00a0Energy Policy<\/em>\u00a096<\/strong>: 397\u2013410. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Arabi B., S. Munisamy, A. Emrouznejad<\/u><\/strong>, M. Toloo, M. S. Ghazizadeh (2016) Eco-Efficiency considering the issue of Heterogeneity among Power Plants, Energy<\/em> 111 (15)<\/strong>: 722\u2013735. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Emrouznejad, A<\/u><\/strong>., \u00ad<\/u>G. L. Yang (2016) A framework for measuring global Malmquist\u2013Luenberger productivity index with CO2 emissions on Chinese manufacturing industries, Energy <\/em>115 (1):<\/strong> 840-856. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Ignatius, J<\/u>., M. Ghasemi, F. Zhang, A. Emrouznejad<\/strong>, A. Hatami-Marbini (2016) \u201cCarbon Efficiency Evaluation: An Analytical Framework Using Fuzzy DEA\u201d, European Journal of Operational Research<\/em> 253(2)<\/strong>: 428\u2013440. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Arabi, B.<\/u>, S. Munisamy, A. Emrouznejad <\/strong>and F. Shadman (2014), Power Industry Restructuring and Eco-Efficiency Changes: A New Slacks-Based Model in Malmquist-Luenberger Index Measurement, Energy Policy<\/em>, 68<\/strong>: 132\u2013145. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Khoshroo, A., R. Mulwa, A. Emrouznejad<\/u><\/strong> and B. Arabi (2013), A Non-Parametric Data Envelopment Analysis Approach for Improving Energy Efficiency of Grape Production, Energy<\/em>, 63 (15)<\/strong>: 189\u2013194. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Mulwa, R., A. Emrouznejad<\/u><\/strong> and E.A. Nuppenau (2012). An overview of Total Factor Productivity estimations adjusted for pollutant outputs: an application to sugarcane farming. International Journal of Environmental Technology and Management, <\/em>15(1)<\/strong>: 1-15. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Gholami, R.<\/span>, A. Emrouznejad<\/strong>, Y. Alnsour, H. B. Kartal, J. Veselova (2021) The Impact of Smart Meter Installation on Attitude Change towards Energy Consumption Behavior among Northern Ireland Households, in Research Anthology on Clean Energy Management and Solutions<\/em>, Chapter 39<\/b>: 925-943<\/em>. (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n
Rahimi I.,<\/span> A. Ahmadi, A. F. Zobaa, A. Emrouznejad<\/strong>, S. H. E. Abdel Aleem (2018) Big data optimization in electric power systems, in Zobaa\u00a0et al. (eds) Classical and Recent Aspects of Power System Optimization, Elsevier (doi<\/a>)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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