| 1 |
A new decision model based on DEA and simulation to evaluate renewable energy projects under interval-valued intuitionistic fuzzy uncertainty
Davoudabadi R, Mousavi SM, Mohagheghi V
Renewable Energy, 164, 1588, 2021 |
| 2 |
Efficiency and economic benefit of dark-fermentative biohydrogen production in Asian circular economies: Evaluation using soft-link methodology with data envelopment analysis (DEA) and computable general equilibrium model (CGE)
Lee DH
International Journal of Hydrogen Energy, 45(6), 3688, 2020 |
| 3 |
A novel DEACM integrating affinity propagation for performance evaluation and energy optimization modeling: Application to complex petrochemical industries
Han YM, Long C, Geng ZQ, Zhu QX, Zhong YH
Energy Conversion and Management, 183, 349, 2019 |
| 4 |
Assessment of Resource Potential of Heavy Petroleum Residues by Data Envelopment Analysis
Tyukilina PM, Krasnikov PE, Derevyanov MY, Pimenov AA, Pleshivtseva YE
Petroleum Chemistry, 59(11), 1207, 2019 |
| 5 |
Combinatorial optimization of petrochemical plants by asset integrity management indicators
Sheikhalishahi M, Karimi M, Raghebi R
Process Safety and Environmental Protection, 127, 321, 2019 |
| 6 |
Evaluation of cumulative impact of partial shading and aerosols on different PV array topologies through combined Shannon's entropy and DEA
Ghosh S, Yadav VK, Mukherjee V
Energy, 144, 765, 2018 |
| 7 |
Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions
Li AJ, Zhang AZ, Huang HJ, Yao X
Energy, 152, 549, 2018 |
| 8 |
A two-stage analytical approach to assess sustainable energy efficiency
Ervural BC, Zaim S, Delen D
Energy, 164, 822, 2018 |
| 9 |
Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)
Li N, Jiang YQ, Mu HL, Yu ZX
Energy, 164, 1145, 2018 |
| 10 |
Allocation of emission permits for China's power plants: A systemic Pareto optimal method
Ji X, Li G, Wang ZH
Applied Energy, 204, 607, 2017 |
