1. Functional resonance analysis via a genetic algorithm to ensure cost-effective maintenance planning. (2025). Lovaglio, Lorenzo ; Patriarca, Riccardo ; Simone, Francesco.
   In: International Journal of Production Economics.
   RePEc:eee:proeco:v:281:y:2025:i:c:s0925527325000015.

   Full description at Econpapers || Download paper

1. Abdin, I. ; Fang, Y.-P. ; Zio, E. A modeling and optimization framework for power systems design with operational flexibility and resilience against extreme heat waves and drought events. 2019 Renew. Sustain. Energy Rev.. 112 706-719

2. Akanle, O. ; Zhang, D. Agent-based model for optimising supply-chain configurations. 2008 Int. J. Prod. Econ.. 115 444-460

3. Antonio, L.M. ; Coello, C.A.C. Coevolutionary multiobjective evolutionary algorithms: Survey of the state-of-the-art. 2017 IEEE Trans. Evol. Comput.. 22 851-865
   Paper not yet in RePEc: Add citation now
   
4. Belegundu, A.D. ; Chandrupatla, T.R. Optimization Concepts and Applications in Engineering. 2019 Cambridge University Press:
   Paper not yet in RePEc: Add citation now
   

5. Biswas, I. ; Gupta, R. ; Tiwari, S. ; Talluri, S. Multi-echelon supply chain coordination: Contract sequence and cut-off policies. 2023 Int. J. Prod. Econ.. 259 -

6. Bruneau, M. ; Chang, S.E. ; Eguchi, R.T. ; Lee, G.C. ; O Rourke, T.D. ; Reinhorn, A.M. ; Shinozuka, M. ; Tierney, K. ; Wallace, W.A. ; Von Winterfeldt, D. A framework to quantitatively assess and enhance the seismic resilience of communities. 2003 Earthq. Spectra. 19 733-752
   Paper not yet in RePEc: Add citation now
   
7. Budinis, S. ; Sachs, J. ; Giarola, S. ; Hawkes, A. An agent-based modelling approach to simulate the investment decision of industrial enterprises. 2020 J. Clean. Prod.. 267 -
   Paper not yet in RePEc: Add citation now
   
8. Bueno, A. ; Godinho Filho, M. ; Frank, A.G. Smart production planning and control in the industry 4.0 context: a systematic literature review. 2020 Comput. Ind. Eng.. 149 -
   Paper not yet in RePEc: Add citation now
   
9. Cavone, G. ; Dotoli, M. ; Epicoco, N. ; Morelli, D. ; Seatzu, C. Design of modern supply chain networks using fuzzy bargaining game and data envelopment analysis. 2020 IEEE Trans. Autom. Sci. Eng.. 17 1221-1236
   Paper not yet in RePEc: Add citation now
   

10. Chen, L. ; Dui, H. ; Zhang, C. A resilience measure for supply chain systems considering the interruption with the cyber-physical systems. 2020 Reliab. Eng. Syst. Saf.. 199 -

11. Chen, S. ; Wang, W. ; Zio, E. A simulation-based multi-objective optimization framework for the production planning in energy supply chains. 2021 Energies. 14 2684-

12. Coello, C.A.C. ; Pulido, G.T. ; Lechuga, M.S. Handling multiple objectives with particle swarm optimization. 2004 IEEE Trans. Evol. Comput.. 8 256-279
    Paper not yet in RePEc: Add citation now
    

13. Cui, L. ; Yue, S. ; Nghiem, X.-H. ; Duan, M. Exploring the risk and economic vulnerability of global energy supply chain interruption in the context of Russo-Ukrainian war. 2023 Resour. Policy. 81 -

14. de Paula Ferreira, W. ; Armellini, F. ; De Santa-Eulalia, L.A. Simulation in industry 4.0: A state-of-the-art review. 2020 Comput. Ind. Eng.. 149 -
    Paper not yet in RePEc: Add citation now
    
15. Deb, K., Jain, S., 2002. Running performance metrics for evolutionary multi-objective optimizations. In: Proceedings of the Fourth Asia-Pacific Conference on Simulated Evolution and Learning (SEAL’02),(Singapore). pp. 13–20, Proceedings of the Fourth Asia-Pacific Conference on Simulated Evolution and Learning (SEAL’02), (Singapore).
    Paper not yet in RePEc: Add citation now
    
16. Dreżewski, R. ; Obrocki, K. ; Siwik, L. Agent-based co-operative co-evolutionary algorithms for multi-objective portfolio optimization. 2010 En : Kacprzyk, J. ; Brabazon, A. ; O’Neill, M. ; Maringer, D.G. Natural Computing in Computational Finance. Springer Berlin Heidelberg: Berlin, Heidelberg
    Paper not yet in RePEc: Add citation now
    

17. Durmaz, Y.G. ; Bilgen, B. Multi-objective optimization of sustainable biomass supply chain network design. 2020 Appl. Energy. 272 -

18. Durowoju, O.A. ; Chan, H.K. ; Wang, X. ; Akenroye, T. Supply chain redesign implications to information disruption impact. 2021 Int. J. Prod. Econ.. 232 -

19. e Silva, M.d.A.C. ; Coelho, L.d.S. ; Lebensztajn, L. Multiobjective biogeography-based optimization based on predator-prey approach. 2012 IEEE Trans. Magn.. 48 951-954
    Paper not yet in RePEc: Add citation now
    
20. European Commission, M.d.A.C. ; Directorate General for Energy, L.d.S. ; Fraunhofer Institute for Systems and Innovation Research ISI, L. ; Guidehouse, T. ; McKinsey & Company, C. ; Toegepast natuurwetenschappelijk onderzoek, A.M. ; Trinomics, M. ; Utrecht University, K. Supply Chain Risks in the EU’s Clean Energy Technologies. 2023 Publications Office: LU
    Paper not yet in RePEc: Add citation now
    

21. Fang, Y. ; Liu, Q. ; Li, M. ; Laili, Y. ; Pham, D.T. Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations. 2019 European J. Oper. Res.. 276 160-174

22. Farahani, R.Z. ; Rezapour, S. ; Drezner, T. ; Fallah, S. Competitive supply chain network design: an overview of classifications, models, solution techniques and applications. 2014 Omega. 45 92-118

23. Fattahi, M. ; Govindan, K. ; Maihami, R. Stochastic optimization of disruption-driven supply chain network design with a new resilience metric. 2020 Int. J. Prod. Econ.. 230 -
    Paper not yet in RePEc: Add citation now
    
24. Finan, A. ; Foss, A. ; Goff, M. ; King, C. ; Lohse, C. Nuclear energy: Supply chain deep dive assessment. 2022 :
    Paper not yet in RePEc: Add citation now
    

25. Fraccascia, L. ; Yazan, D.M. ; Albino, V. ; Zijm, H. The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation. 2020 Int. J. Prod. Econ.. 221 -

26. Gong, D. ; Xu, B. ; Zhang, Y. ; Guo, Y. ; Yang, S. A similarity-based cooperative co-evolutionary algorithm for dynamic interval multiobjective optimization problems. 2019 IEEE Trans. Evol. Comput.. 24 142-156
    Paper not yet in RePEc: Add citation now
    
27. He, Z. ; Yen, G.G. Many-objective evolutionary algorithms based on coordinated selection strategy. 2016 IEEE Trans. Evol. Comput.. 21 220-233
    Paper not yet in RePEc: Add citation now
    
28. Hillis, W.D. Co-evolving parasites improve simulated evolution as an optimization procedure. 1990 Physica D. 42 228-234
    Paper not yet in RePEc: Add citation now
    
29. Ivanov, D. . 2024 En : Introduction to Supply Chain Analytics: With Examples in Anylogic and Anylogistix Software. Springer Nature Switzerland: Cham
    Paper not yet in RePEc: Add citation now
    

30. Ivanov, D. Supply chain resilience: Conceptual and formal models drawing from immune system analogy. 2024 Omega. 127 -

31. Ivanov, D. ; Sokolov, B. Simultaneous structural–operational control of supply chain dynamics and resilience. 2019 Ann. Oper. Res.. 283 1191-1210

32. Jafarian, A. ; Rabiee, M. ; Tavana, M. A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties. 2020 Int. J. Prod. Econ.. 228 -

33. Kaur, H. ; Prakash Singh, S. Multi-stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technologies. 2021 Int. J. Prod. Econ.. 231 -

34. Kuang, Y. ; Sun, J. ; Gan, X. ; Gong, D. ; Liu, Z. ; Zha, M. Dynamic multi-objective cooperative coevolutionary scheduling for mobile underwater wireless sensor networks. 2021 Comput. Ind. Eng.. 156 -
    Paper not yet in RePEc: Add citation now
    

35. Kumar, R. ; Ganapathy, L. ; Gokhale, R. ; Tiwari, M.K. Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature review. 2020 Int. J. Prod. Res.. 58 3527-3553

36. Kumar, V. ; Kumar, V. ; Brady, M. ; Garza-Reyes, J.A. ; Simpson, M. Resolving forward-reverse logistics multi-period model using evolutionary algorithms. 2017 Int. J. Prod. Econ.. 183 458-469

37. Ledwoch, A. ; Yasarcan, H. ; Brintrup, A. The moderating impact of supply network topology on the effectiveness of risk management. 2018 Int. J. Prod. Econ.. 197 13-26

38. Li, K. ; Kwong, S. ; Cao, J. ; Li, M. ; Zheng, J. ; Shen, R. Achieving balance between proximity and diversity in multi-objective evolutionary algorithm. 2012 Inform. Sci.. 182 220-242
    Paper not yet in RePEc: Add citation now
    
39. Li, M. ; Yao, X. Quality evaluation of solution sets in multiobjective optimisation: a survey. 2020 ACM Comput. Surv.. 52 1-38
    Paper not yet in RePEc: Add citation now
    
40. Liao, T.W. Integrated inbound vehicle routing and scheduling under a fixed outbound schedule at a multi-door cross-dock terminal. 2021 IEEE Trans. Intell. Transp. Syst.. 23 13217-13229
    Paper not yet in RePEc: Add citation now
    
41. Lin, Q. ; Liu, S. ; Zhu, Q. ; Tang, C. ; Song, R. ; Chen, J. ; Coello, C.A.C. ; Wong, K.-C. ; Zhang, J. Particle swarm optimization with a balanceable fitness estimation for many-objective optimization problems. 2016 IEEE Trans. Evol. Comput.. 22 32-46
    Paper not yet in RePEc: Add citation now
    

42. Liu, M. ; Liu, Z. ; Chu, F. ; Dolgui, A. ; Chu, C. ; Zheng, F. An optimization approach for multi-echelon supply chain viability with disruption risk minimization. 2022 Omega. -

43. Lu, H. ; Guo, L. ; Azimi, M. ; Huang, K. Oil and Gas 4.0 era: A systematic review and outlook. 2019 Comput. Ind.. 111 68-90
    Paper not yet in RePEc: Add citation now
    

44. Magliocca, N.R. ; Price, A.N. ; Mitchell, P.C. ; Curtin, K.M. ; Hudnall, M. ; McSweeney, K. Coupling agent-based simulation and spatial optimization models to understand spatially complex and co-evolutionary behavior of cocaine trafficking networks and counterdrug interdiction. 2024 IISE Trans.. 56 282-295

45. Marseguerra, M. ; Zio, E. ; Podofillini, L. Multiobjective spare part allocation by means of genetic algorithms and Monte Carlo simulation. 2005 Reliab. Eng. Syst. Saf.. 87 325-335
    Paper not yet in RePEc: Add citation now
    

46. Massari, G.F. ; Giannoccaro, I. Investigating the effect of horizontal coopetition on supply chain resilience in complex and turbulent environments. 2021 Int. J. Prod. Econ.. 237 -

47. Nandimandalam, H. ; Aghalari, A. ; Gude, V.G. ; Marufuzzaman, M. Multi-objective optimization model for regional renewable biomass supported electricity generation in rural regions. 2022 Energy Convers. Manage.. 266 -
    Paper not yet in RePEc: Add citation now
    
48. Nguyen, M.H. ; Abbass, H.A. ; McKay, R.I. Analysis of CCME: Coevolutionary dynamics, automatic problem decomposition, and regularization. 2007 IEEE Trans. Syst. Man Cybern. C (Appl. Rev.). 38 100-109
    Paper not yet in RePEc: Add citation now
    
49. Panzer, M. ; Bender, B. ; Gronau, N. Neural agent-based production planning and control: an architectural review. 2022 J. Manuf. Syst.. 65 743-766
    Paper not yet in RePEc: Add citation now
    

50. Perera, A. ; Nik, V.M. ; Chen, D. ; Scartezzini, J.-L. ; Hong, T. Quantifying the impacts of climate change and extreme climate events on energy systems. 2020 Nat. Energy. 5 150-159

51. Potter, M.A. ; De Jong, K.A. A cooperative coevolutionary approach to function optimization. 1994 En : International Conference on Parallel Problem Solving from Nature. Springer:
    Paper not yet in RePEc: Add citation now
    
52. Potter, M.A. ; Jong, K.A.D. Cooperative coevolution: An architecture for evolving coadapted subcomponents. 2000 Evol. Comput.. 8 1-29
    Paper not yet in RePEc: Add citation now
    

53. Sahinkoc, H.M. ; Bilge, Ü. A reference set based many-objective co-evolutionary algorithm with an application to the knapsack problem. 2022 European J. Oper. Res.. 300 405-417

54. Shi, Y. ; Lin, Y. ; Li, B. ; Yi Man Li, R. A bi-objective optimization model for the medical supplies’ simultaneous pickup and delivery with drones. 2022 Comput. Ind. Eng.. 171 -
    Paper not yet in RePEc: Add citation now
    

55. Tafakkori, K. ; Jolai, F. ; Tavakkoli-Moghaddam, R. Disruption-resilient supply chain entities with decentralized robust-stochastic capacity planning. 2023 Reliab. Eng. Syst. Saf.. -

56. Tang, O. ; Nurmaya Musa, S. Identifying risk issues and research advancements in supply chain risk management. 2011 Int. J. Prod. Econ.. 133 25-34

57. Tian, Y. ; Zhang, X. ; Cheng, R. ; Jin, Y. A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. 2016 En : 2016 IEEE Congress on Evolutionary Computation. IEEE:
    Paper not yet in RePEc: Add citation now
    
58. Toktaş-Palut, P. An integrated contract for coordinating a three-stage green forward and reverse supply chain under fairness concerns. 2021 J. Clean. Prod.. 279 -
    Paper not yet in RePEc: Add citation now
    

59. Valcamonico, D. ; Sansavini, G. ; Zio, E. Cooperative co-evolutionary approach to optimize recovery for improving resilience in multi-communities. 2020 Reliab. Eng. Syst. Saf.. 197 -

60. Wang, F. ; Chen, J. ; Yang, H. ; Yu, B. Supplier selection with information disclosure in the presence of uninformed consumers. 2022 Int. J. Prod. Econ.. 243 -

61. Wang, H. ; Jin, Y. ; Yao, X. Diversity assessment in many-objective optimization. 2016 IEEE Trans. Cybern.. 47 1510-1522
    Paper not yet in RePEc: Add citation now
    
62. Wang, X. ; Jin, Y. ; Schmitt, S. ; Olhofer, M. An adaptive bayesian approach to surrogate-assisted evolutionary multi-objective optimization. 2020 Inform. Sci.. 519 317-331
    Paper not yet in RePEc: Add citation now
    

63. Yağmur, E. ; Kesen, S.E. Bi-objective coordinated production and transportation scheduling problem with sustainability: formulation and solution approaches. 2023 Int. J. Prod. Res.. 61 774-795

64. Yalew, S.G. ; van Vliet, M.T. ; Gernaat, D.E. ; Ludwig, F. ; Miara, A. ; Park, C. ; Byers, E. ; De Cian, E. ; Piontek, F. ; Iyer, G. Impacts of climate change on energy systems in global and regional scenarios. 2020 Nat. Energy. 5 794-802

65. Ye, Y. ; Suleiman, M.A. ; Huo, B. Impact of just-in-time (JIT) on supply chain disruption risk: the moderating role of supply chain centralization. 2022 Ind. Manage. Data Syst.. 122 1665-1685
    Paper not yet in RePEc: Add citation now
    

66. Zhan, Y. ; Chung, L. ; Lim, M.K. ; Ye, F. ; Kumar, A. ; Tan, K.H. The impact of sustainability on supplier selection: a behavioural study. 2021 Int. J. Prod. Econ.. 236 -

67. Zhang, Z. ; Han, Q. ; Li, Y. ; Wang, Y. ; Shi, Y. An evolutionary multiagent framework for multiobjective optimization. 2020 Math. Probl. Eng.. 2020 1-18

68. Zhao, Z.-Y. ; Hao, Y.-X. ; Chang, R.-D. ; Wang, Q.-C. Assessing the vulnerability of energy supply chains: Influencing factors and countermeasures. 2023 Sustain. Energy Technol. Assess.. 56 -
    Paper not yet in RePEc: Add citation now
    
69. Zitzler, E. ; Thiele, L. Multiobjective optimization using evolutionary algorithms a comparative case study. 1998 En : International Conference on Parallel Problem Solving from Nature. Springer:
    Paper not yet in RePEc: Add citation now
    

1. Value of considering extreme weather resilience in grid capacity expansion planning. (2025). Sahin, Berk ; Hasenbein, John ; Kutanoglu, Erhan.
   In: Reliability Engineering and System Safety.
   RePEc:eee:reensy:v:259:y:2025:i:c:s095183202500095x.

   Full description at Econpapers || Download paper

2. Temperature-dependent performance of CCGTs: Unit commitment analysis. (2025). Zakeri, Yadollah ; Mokhtari, Ali ; Latify, Mohammad Amin.
   In: Energy.
   RePEc:eee:energy:v:318:y:2025:i:c:s0360544225003226.

   Full description at Econpapers || Download paper

3. Developing a green-resilient power network and supply chain: Integrating renewable and traditional energy sources in the face of disruptions. (2025). Bohreghi, Iman Mohammadi ; Yavari, Mohammad.
   In: Applied Energy.
   RePEc:eee:appene:v:377:y:2025:i:pc:s0306261924020373.

   Full description at Econpapers || Download paper

4. A data-driven optimization model for renewable electricity supply chain design. (2024). Ghaderi, S F ; Panahi, Homa ; Sabouhi, Fatemeh ; Bozorgi-Amiri, Ali.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:202:y:2024:i:c:s1364032124003447.

   Full description at Econpapers || Download paper

5. Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in petrochemical industry. (2024). Hwangbo, Soonho ; Ifaei, Pouya ; Byun, Jaewon ; Ko, Jaerak ; Yoo, Changkyoo ; Ha, Byeongmin ; Heo, Sungku.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:189:y:2024:i:pa:s1364032123007918.

   Full description at Econpapers || Download paper

6. An agent-based cooperative co-evolutionary framework for optimizing the production planning of energy supply chains under uncertainty scenarios. (2024). Zio, Enrico ; Wang, Wei ; Ma, Chiye ; Chen, Shiyu.
   In: International Journal of Production Economics.
   RePEc:eee:proeco:v:277:y:2024:i:c:s0925527324002561.

   Full description at Econpapers || Download paper

7. China’s Inter-Provincial Energy Security Resilience Assessment over Space and Time: An Improved Gray Relational Projection Model. (2023). Li, Pin ; Zhang, Jinsuo.
   In: Energies.
   RePEc:gam:jeners:v:16:y:2023:i:7:p:3131-:d:1111437.

   Full description at Econpapers || Download paper

8. Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives. (2023). Hong, Tianzhen ; Perera, A. T. D., .
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:173:y:2023:i:c:s1364032122009194.

   Full description at Econpapers || Download paper

9. Methods for assessing climate uncertainty in energy system models — A systematic literature review. (2023). Bertsch, Valentin ; Plaga, Leonie Sara.
   In: Applied Energy.
   RePEc:eee:appene:v:331:y:2023:i:c:s0306261922016415.

   Full description at Econpapers || Download paper

10. Exploring acute weather resilience: Meeting resilience and renewable goals. (2022). Bazilian, Morgan D ; MacMillan, Madeline ; Murphy, Caitlin A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:168:y:2022:i:c:s1364032122007249.

    Full description at Econpapers || Download paper

11. A systematic review on power system resilience from the perspective of generation, network, and load. (2022). Wang, Zhaoyu ; Pan, Xueping ; Ju, Ping ; Wu, Feng.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:167:y:2022:i:c:s1364032122004658.

    Full description at Econpapers || Download paper

12. Multi-stage stochastic programming for resilient integrated electricity and natural gas distribution systems against typhoon natural disaster attacks. (2022). Li, LI ; Wang, Kang ; Blaabjerg, Frede ; Chi, Fangde ; Mu, Chenggang ; Huang, Can ; Yang, Yongheng ; Jia, Wenhao ; Ding, Tao ; Shahidehpour, Mohammad ; Qu, Ming.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:159:y:2022:i:c:s1364032121010534.

    Full description at Econpapers || Download paper

13. Power economic dispatch against extreme weather conditions: The price of resilience. (2022). Li, Yupeng ; Lei, Shunbo ; Wang, Ming-Hao ; Pozo, David ; Peng, Chaoyi.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:157:y:2022:i:c:s1364032121012570.

    Full description at Econpapers || Download paper

14. A sequentially preventive model enhancing power system resilience against extreme-weather-triggered failures. (2022). Ju, Ping ; Li, Hongyu ; Liu, Hanchen ; Wang, Chong.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:156:y:2022:i:c:s1364032121012107.

    Full description at Econpapers || Download paper

15. Distributed resilient control against denial of service attacks in DC microgrids with constant power load. (2022). Chen, Yin ; Shi, Mengxuan ; Wen, Jinyu ; Zhou, Jianyu.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:153:y:2022:i:c:s1364032121010613.

    Full description at Econpapers || Download paper

16. Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions. (2022). Brandon, Nigel ; Wu, Nianyuan ; Li, LI ; Wang, Jing ; Lin, Jian ; Zhang, Zhihui ; Meng, Chao ; Zhao, Yingru ; Zhong, Xiaoyi ; Xie, Shan ; Shah, Nilay.
    In: Applied Energy.
    RePEc:eee:appene:v:308:y:2022:i:c:s0306261921016172.

    Full description at Econpapers || Download paper

17. On the resilience of modern power systems: A comprehensive review from the cyber-physical perspective. (2021). Sheng, Yujie ; Muyeen, S M ; Guo, Qinglai ; Xu, Luo ; Sun, Hongbin.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:152:y:2021:i:c:s1364032121009175.

    Full description at Econpapers || Download paper

18. Stochastic pre-event preparation for enhancing resilience of distribution systems. (2021). Wang, Zhaoyu ; Ma, Shanshan ; Zhang, Qianzhi ; Arif, Anmar.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:152:y:2021:i:c:s1364032121009114.

    Full description at Econpapers || Download paper

19. Sequential steady-state security region-based transmission power system resilience enhancement. (2021). Pan, Xueping ; Lei, Shunbo ; Ju, Ping ; Wu, Feng ; Wang, Chong.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:151:y:2021:i:c:s136403212100811x.

    Full description at Econpapers || Download paper

20. Quantitative analysis of power systems resilience: Standardization, categorizations, and challenges. (2021). Davis, K R ; Oikonomou, K ; Huang, H ; Umunnakwe, A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:149:y:2021:i:c:s1364032121005396.

    Full description at Econpapers || Download paper

21. Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction. (2021). Zheng, YI ; Zhou, Nan ; Liu, Junguo ; Jiang, Jingjing ; Ye, Bin.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:135:y:2021:i:c:s1364032120307024.

    Full description at Econpapers || Download paper

22. Preventive maintenance scheduling of multi energy microgrid to enhance the resiliency of system. (2021). Zadeh, Saeid Ghassem ; Gargari, Milad Zamani ; Hagh, Mehrdad Tarafdar.
    In: Energy.
    RePEc:eee:energy:v:221:y:2021:i:c:s0360544221000311.

    Full description at Econpapers || Download paper

23. Dual variable decomposition to discriminate the cost imposed by inflexible units in electricity markets. (2021). Rahmati, Iman ; Gharibpour, Hassan ; Aminifar, Farrokh ; Keshavarz, Arezou.
    In: Applied Energy.
    RePEc:eee:appene:v:287:y:2021:i:c:s0306261921001367.

    Full description at Econpapers || Download paper

24. Resilience framework and metrics for energy master planning of communities. (2020). Shandiz, Saeid Charani ; Jeffers, Robert F ; Foliente, Greg ; Rismanchi, Behzad ; Wachtel, Amanda.
    In: Energy.
    RePEc:eee:energy:v:203:y:2020:i:c:s0360544220309634.

    Full description at Econpapers || Download paper

25. Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty. (2020). Shahbazbegian, Vahid ; Hosseini-Motlagh, Seyyed-Mahdi ; Ghatreh, Mohammad Reza.
    In: Applied Energy.
    RePEc:eee:appene:v:280:y:2020:i:c:s0306261920313829.

    Full description at Econpapers || Download paper

26. Modeling and evaluating nodal resilience of multi-energy systems under windstorms. (2020). Ding, YI ; Bao, Minglei ; Sang, Maosheng ; Yan, Jinyue ; Li, Daqing ; Shao, Changzheng.
    In: Applied Energy.
    RePEc:eee:appene:v:270:y:2020:i:c:s0306261920306486.

    Full description at Econpapers || Download paper

Report date: 2025-09-23 10:27:02 || Missing content? Let us know