Open Access
| Issue |
RAIRO-Oper. Res.
Volume 58, Number 4, July-August 2024
|
|
|---|---|---|
| Page(s) | 3369 - 3389 | |
| DOI | https://doi.org/10.1051/ro/2024100 | |
| Published online | 15 August 2024 | |
- A. Ahmadi-Javid, Entropic value-at-risk: a new coherent risk measure. J. Optim. Theory App. 155 (2012) 1105–1123. [CrossRef] [Google Scholar]
- S. Ahmed, K. Alam, K. Sohag, J. Gow, A. Rashid and M. Akter, Renewable and non-renewable energy use and its relationship with economic growth in Myanmar. Environ. Sci. Pollut. Res. 26 (2019) 22812–22825. [CrossRef] [PubMed] [Google Scholar]
- A.M. Alshamrani, A.F. Alrasheedi and K.A. Alnowibet, A game-theoretic model for wind farm planning problem: a bi-level stochastic optimization approach. Sustain. Energy Technol. Assess. 53 (2022) 102539. [Google Scholar]
- A. Ayough, S. Boshruei and B. Khorshidvand, A new interactive method based on multi-criteria preference degree functions for solar power plant site selection. Renew. Energy 195 (2022) 1165–1173. [CrossRef] [Google Scholar]
- R. Azmi, H. Amar, J. Chenal, E.B. Diop and C.S. Tekouabou Koumetio, Decision analysis related to solar farm investments based on analysis hierarchical process and fuzzy AHP for sustainable energy production. Int. J. Energy Res. 46 (2022) 11730–11755. [CrossRef] [Google Scholar]
- M. Barzehkar, K.E. Parnell, N.M. Dinan and G. Brodie, Decision support tools for wind and solar farm site selection in Isfahan Province, Iran. Clean Technol. Environ. Policy 23 (2021) 1179–1195. [CrossRef] [Google Scholar]
- S.S.H. Dehshiri and B. Firoozabadi, A new application of measurement of alternatives and ranking according to compromise solution (MARCOS) in solar site location for electricity and hydrogen production: a case study in the southern climate of Iran. Energy 261 (2022) 125376. [CrossRef] [Google Scholar]
- B. Elboshy, M. Alwetaishi, R.M. Aly and A.S. Zalhaf, A suitability mapping for the PV solar farms in Egypt based on GIS-AHP to optimize multi-criteria feasibility. Ain Shams Eng. J. 13 (2022) 101618. [CrossRef] [Google Scholar]
- A. Fathy, S. Ferahtia, H. Rezk, D. Yousri, M.A. Abdelkareem and A.G. Olabi, Robust parameter estimation approach of Lithium-ion batteries employing bald eagle search algorithm. Int. J. Energy Res. 46 (2022) 10564–10575. [CrossRef] [Google Scholar]
- C. Gervet and M. Atef, Optimal allocation of renewable energy parks: a two-stage optimization model. RAIRO-Oper. Res. 47 (2013) 125–150. [CrossRef] [EDP Sciences] [Google Scholar]
- S. Ghosh, K.-H. Küfer, S.K. Roy and G.-W. Weber, Type-2 zigzag uncertain multi-objective fixed-charge solid transportation problem: time window vs. preservation technology. Cent. Eur. J. Oper. Res. 31 (2023) 337–362. [CrossRef] [MathSciNet] [Google Scholar]
- B.K. Giri, S.K. Roy and M. Deveci, Fuzzy robust flexible programming with Me measure for electric sustainable supply chain. Appl. Soft Comput. 145 (2023) 110614. [CrossRef] [Google Scholar]
- N. Hooshangi, N.M. Gharakhanlou and S.R.G. Razin, Evaluation of potential sites in Iran to localize solar farms using a GIS-based Fermatean Fuzzy TOPSIS. J. Clean. Prod. 384 (2023) 135481. [CrossRef] [Google Scholar]
- G. Kaur, A. Majumder and R. Yadav, An efficient generalized fuzzy TOPSIS algorithm for the selection of the hybrid energy resources: a comparative study between single and hybrid energy plant installation in Turkey. RAIRO-Oper. Res. 56 (2022) 1877–1899. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- P. Knox, Largest farm to grow crops under solar panels proves to be a bumper crop for agrivoltaic land use. Retrieved from https://site.extension.uga.edu/climate/2023/09/largest-farm-to-grow-crops-under-solar-panels-proves-to-be-a-bumper-crop-for-agrivoltaic-land-use/ (2023). [Google Scholar]
- O. Kohansal, M. Zadehbagheri, M.J. Kiani and S. Nejatian, Fuzzy decision-based energy management of energy grids with hubs considering participation of hubs and networks in the energy markets. Int. J. Energy Res. 2023 (2023) 4321087. [CrossRef] [Google Scholar]
- R. Lotfi, A. Mostafaeipour, N. Mardani and S. Mardani, Investigation of wind farm location planning by considering budget constraints. Int. J. Sustain. Energy 37 (2018) 799–817. [CrossRef] [Google Scholar]
- R. Lotfi, N. Mardani and G.W. Weber, Robust bi-level programming for renewable energy location. Int. J. Energy Res. 45 (2021) 7521–7534. [Google Scholar]
- R. Lotfi, B. Kargar, A. Gharehbaghi, M. Afshar, M.S. Rajabi and N. Mardani, A data-driven robust optimization for multi-objective renewable energy location by considering risk. Environ. Dev. Sustain. (2022) 1–22. DOI: 10.1007/s10668-022-02448-7. [Google Scholar]
- R. Lotfi, H. Nazarpour, A. Gharehbaghi, S.M.H. Sarkhosh and A. Khanbaba, Viable closed-loop supply chain network by considering robustness and risk as a circular economy. Environ. Sci. Pollut. Res. 29 (2022) 70285–70304. [CrossRef] [PubMed] [Google Scholar]
- R. Lotfi, A. Gharehbaghi, M.S. Mehrjardi, K. Kheiri and S.S. Ali, A robust, resilience multi-criteria decision-making with risk approach: a case study for renewable energy location. Environ. Sci. Pollut. Res. 30 (2023) 43267–43278. [CrossRef] [Google Scholar]
- S. Lu, J. Zhou and J. Ren, Alleviating energy poverty through renewable energy technology: an investigation using a best-worst method-based quality function deployment approach with interval-valued intuitionistic fuzzy numbers. Int. J. Energy Res. 2023 (2023) 8358799. [Google Scholar]
- A. Mbzibain, T. Hocking, G. Tate and S. Ali, Biomass enterprises on UK farms: factors influencing renewable energy investment decisions by farmers. Aspects Appl. Biol. (2011) 39–46. [Google Scholar]
- A. Mondal and S.K. Roy, Multi-objective sustainable opened-and closed-loop supply chain under mixed uncertainty during COVID-19 pandemic situation. Comput. Ind. Eng. 159 (2021) 107453. [CrossRef] [Google Scholar]
- A. Mondal and S.K. Roy, Application of Choquet integral in interval type-2 Pythagorean fuzzy sustainable supply chain management under risk. Int. J. Intell. Syst. 37 (2022) 217–263. [CrossRef] [Google Scholar]
- A. Mondal, B.K. Giri and S.K. Roy, An integrated sustainable bio-fuel and bio-energy supply chain: a novel approach based on DEMATEL and fuzzy-random robust flexible programming with Me measure. Appl. Energy 343 (2023) 121225. [CrossRef] [Google Scholar]
- A. Mondal, B.K. Giri, S.K. Roy, M. Deveci and D. Pamucar, Sustainable-resilient-responsive supply chain with demand prediction: an interval type-2 robust programming approach. Eng. App. Artif. Intell. 133 (2024) 108133. [CrossRef] [Google Scholar]
- S.A.A. Naqvi, S.A.R. Shah, S. Anwar and H. Raza, Renewable energy, economic development, and ecological footprint nexus: fresh evidence of renewable energy environment Kuznets curve (RKC) from income groups. Environ. Sci. Pollut. Res. 28 (2021) 2031–2051. [CrossRef] [PubMed] [Google Scholar]
- A.Z. Piprani, N.I. Jaafar, S.M. Ali, M.S. Mubarik and M. Shahbaz, Multi-dimensional supply chain flexibility and supply chain resilience: the role of supply chain risks exposure. Oper. Manage. Res. 15 (2022) 307–325. [CrossRef] [Google Scholar]
- M. Razeghi, A. Hajinezhad, A. Naseri, Y. Noorollahi and S.F. Moosavian, Multi-criteria decision-making for selecting a solar farm location to supply energy to reverse osmosis devices and produce freshwater using GIS in Iran. Solar Energy 253 (2023) 501–514. [CrossRef] [Google Scholar]
- M. Sarkar, A. Majumder, S. Bhattacharya and B. Sarkar, Optimization of energy cycle under a sustainable supply chain management. RAIRO-Oper. Res. 57 (2023) 2177–2196. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- SATBA, Renewable power plants geographical map. Retrieved from https://www.satba.gov.ir/en/iranresourceassesment/atlas/map-map (2023). [Google Scholar]
- Y. Sun, D. Zhu, Y. Li, R. Wang and R. Ma, Spatial modelling the location choice of large-scale solar photovoltaic power plants: application of interpretable machine learning techniques and the national inventory. Energy Convers. Manage. 289 (2023) 117198. [CrossRef] [Google Scholar]
- G. Villacreses, J. Martinez-Gomez, D. Jijon and M. Cordovez, Geolocation of photovoltaic farms using Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM) methods: case of the Ecuadorian energy regulation. Energy Rep. 8 (2022) 3526–3548. [CrossRef] [Google Scholar]
- H. Von Stackelberg, The Theory of the Market Economy. Oxford University Press (1952). [Google Scholar]
- H.A. Xuan, V.V. Trinh, K. Techato and K. Phoungthong, Use of hybrid MCDM methods for site location of solar-powered hydrogen production plants in Uzbekistan. Sustain. Energy Technol. Assess. 52 (2022) 101979. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.