ARCHIVES

1. Abdelghany, M. B., Al-Durra, A., & Gao, F. (2023). A coordinated optimal operation of a grid-connected wind-solar microgrid
incorporating hybrid energy storage management systems. IEEE Transactions on Sustainable Energy.
2. Adak, S., Cangi, H., Kaya, R., & Yılmaz, A. S. (2022). Effects of electric vehicles and charging stations on microgrid power
quality. Gazi University Journal of Science Part A: Engineering and Innovation, 9(3), 276-286.
3. Ali, I., Charles, V., Modibbo, U. M., Gherman, T., & Gupta, S. (2024). Navigating COVID-19: unraveling supply chain disruptions
through best-worst method and fuzzy TOPSIS. Benchmarking: An International Journal, 31(5), 1548-1589.
4. Arman, H., Hadi-Vencheh, A., Kiani Mavi, R., Khodadadipour, M., & Jamshidi, A. (2022). Revisiting the Interval and Fuzzy TOPSIS
Methods: Is Euclidean Distance a Suitable Tool to Measure the Differences between Fuzzy Numbers?. Complexity, 2022.
5. Ashraf, S., Abdullah, S., & Khan, S. (2021). Fuzzy decision support modeling for internet finance soft power evaluation based on sine
trigonometric Pythagorean fuzzy information. Journal of Ambient Intelligence and Humanized Computing, 12, 3101-3119.
6. Balaji, B., Ganesan, S., Pugazhendiran, P., & Subramanian, S. (2023). Closed loop proportional resonant controller controlled DC
microgrid system with advanced material technology in solar PV system. Materials Today: Proceedings.
7. Behrendt, J. (2023). Microgrids and EU law: Three Microgrid models to solve one regulatory puzzle. Energy Policy, 177, 113483.
8. Bovo, A., Poli, N., Trovo, A., Marini, G., & Guarnieri, M. (2023). Hydrogen energy storage system in a Multi‒Technology Microgrid:
technical features and performance. International Journal of Hydrogen Energy, 48(32), 12072-12088.
9. Çelikbilek, Y., & Tüysüz, F. (2020). An in-depth review of theory of the TOPSIS method: An experimental analysis. Journal of
Management Analytics, 7(2), 281-300.
10. Choudhury, S. (2022). Review of energy storage system technologies integration to microgrid: Types, control strategies, issues, and
future prospects. Journal of Energy Storage, 48, 103966.
11. Deowan, M. E., Nuhel, A. K., Sazid, M. M., Meghla, R. T., Haider, I., & Hazari, M. R. (2023, January). Design and Analysis of IoT-
Based Adaptive Microgrid System including Renewable Energy Sources for Decentralized Zones. In 2023 3rd International
Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 84-89). IEEE.
12. Dınçer, H., Yüksel, S., & Martínez, L. (2021). House of quality-based analysis of new service development using context free grammar
evaluation-enhanced fuzzy hybrid modelling. IEEE Access, 9, 138415-138431.
13. Gamil, M. M., Senjyu, T., Masrur, H., Takahashi, H., & Lotfy, M. E. (2022). Controlled V2Gs and battery integration into residential
microgrids: Economic and environmental impacts. Energy Conversion and Management, 253, 115171.
14. Grisales-Noreña, L. F., Cortés-Caicedo, B., Montoya, O. D., Hernandéz, J. C., & Alcalá, G. (2023). A battery energy management
system to improve the financial, technical, and environmental indicators of Colombian urban and rural networks. Journal of Energy
Storage, 65, 107199.Kama, M. M., Ashraf, I., & Fernandez, E. (2022). Optimal planning of renewable integrated rural microgrid forsustainable energy supply. Energy Storage, 4(4), e332.
15. Lei, B., Ren, Y., Luan, H., Dong, R., Wang, X., Liao, J., ... & Gao, K. (2023). A Review of Optimization for System Reliability of
Microgrid. Mathematics, 11(4), 822.
16. Lipu, M. H., Ansari, S., Miah, M. S., Hasan, K., Meraj, S. T., Faisal, M., ... & Hannan, M. A. (2022). A review of controllers and
optimizations based scheduling operation for battery energy storage system towards decarbonization in microgrid: Challenges and
future directions. Journal of Cleaner Production, 360, 132188.
17. Mahmudah, R. S., Putri, D. I., Abdullah, A. G., Shafii, M. A., Hakim, D. L., & Setiadipura, T. (2024). Developing a Multi-Criteria
Decision-Making model for nuclear power plant location selection using Fuzzy Analytic Hierarchy Process and Fuzzy VIKOR methods
focused on socio-economic factors. Cleaner Engineering and Technology, 19, 100737.
18. Masaud, T. M., & Nwaulu, E. (2023, April). Optimal Microgrid Scheduling for Minimizing CO2 Emission Considering the Impact of
Utility Grid Renewable Energy Penetration Factor. In 2023 IEEE Conference on Technologies for Sustainability (SusTech) (pp. 63-
67). IEEE.
19. Masrur, H., Shafie-Khah, M., Hossain, M. J., & Senjyu, T. (2022). Multi-energy microgrids incorporating EV integration: Optimal
design and resilient operation. IEEE Transactions on Smart Grid, 13(5), 3508-3518.
20. Mbungu, N. T., Ismail, A. A., AlShabi, M., Bansal, R. C., Elnady, A., & Hamid, A. K. (2023). Control and estimation techniques applied
to smart microgrids: A review. Renewable and Sustainable Energy Reviews, 113251.
21. Memon, A. A., & Kauhaniemi, K. (2023). Protection of the Future Harbor Area AC Microgrids Containing Renewable Energy Sources
and Batteries. IEEE Access.
22. Moslem, S. (2024). A novel parsimonious spherical fuzzy analytic hierarchy process for sustainable urban transport
solutions. Engineering Applications of Artificial Intelligence, 128, 107447.
23. Nandi, R., Mondal, S., Mandal, J., & Bhattacharyya, P. (2024). From fuzzy-TOPSIS to machine learning: A holistic approach to
understanding groundwater fluoride contamination. Science of The Total Environment, 912, 169323.
24. Neri, A., Butturi, M. A., Lolli, F., & Gamberini, R. (2023). Inter-firm exchanges, distributed renewable energy generation, and battery
energy storage system integration via microgrids for energy symbiosis. Journal of Cleaner Production, 414, 137529.
25. Rahman, M. M., Gemechu, E., Oni, A. O., & Kumar, A. (2023). The development of a techno-economic model for assessment of cost
of energy storage for vehicle-to-grid applications in a cold climate. Energy, 262, 125398.
26. Roccotelli, M., Mangini, A. M., & Fanti, M. P. (2022). Smart district energy management with cooperative microgrids. IEEE
Access, 10, 36311-36326.
27. Rodrigues, S. D., & Garcia, V. J. (2023). Transactive energy in microgrid communities: A systematic review. Renewable and
Sustainable Energy Reviews, 171, 112999.
28. Seger, P. V., Rigo-Mariani, R., Thivel, P. X., & Riu, D. (2023). A storage degradation model of Li-ion batteries to integrate ageing
effects in the optimal management and design of an isolated microgrid. Applied Energy, 333, 120584.
29. Shezan, S. A., Kamwa, I., Ishraque, M. F., Muyeen, S. M., Hasan, K. N., Saidur, R., ... & Al-Sulaiman, F. A. (2023). Evaluation of
different optimization techniques and control strategies of hybrid microgrid: a review. Energies, 16(4), 1792.
30. Shufian, A., & Mohammad, N. (2022). Modeling and analysis of cost-effective energy management for integrated microgrids. Cleaner
Engineering and Technology, 8, 100508.
31. Siddique, A., Zhao, C., & Li, X. (2023, February). Microgrid Optimal Energy Scheduling with Risk Analysis. In 2023 IEEE Texas
Power and Energy Conference (TPEC) (pp. 1-5). IEEE.
32. Sun, L., Peng, J., Dinçer, H., & Yüksel, S. (2022). Coalition-oriented strategic selection of renewable energy system alternatives using
q-ROF DEMATEL with golden cut. Energy, 256, 124606.
33. Van, L. P., Do Chi, K., & Duc, T. N. (2023). Review of hydrogen technologies based microgrid: Energy management systems,
challenges and future recommendations. International Journal of Hydrogen Energy.
34. Yang, S., Lin, H., Ju, L., & Ma, J. (2023). Chance-constrained bi-level optimal dispatching model and benefit allocation strategy for
off-grid microgrid considering bilateral uncertainty of supply and demand. International Journal of Electrical Power & Energy
Systems, 146, 108719.
35. Youssef, A. R., Mallah, M., Ali, A., Shaaban, M. F., & Mohamed, E. E. (2023). Enhancement of Microgrid Frequency Stability Based
on the Combined Power-to-Hydrogen-to-Power Technology under High Penetration Renewable Units. Energies, 16(8), 3377.
36. Yu, J., Xiao, H., Sun, F., Yan, L., & Liu, M. (2024). Research on the Safety Evaluation Method for Quayside Container Cranes Based
on the Best–Worst Method–Pythagorean Fuzzy VIKOR Approach. Applied Sciences, 14(3), 1312.
37. Yuen, K. K. F. (2024). Fuzzy cognitive network process for software reliability and quality measurement: comparisons with fuzzy
analytic hierarchy process. Journal of Reliable Intelligent Environments, 1-18.
38. Zarate-Perez, E., Rosales-Asensio, E., Gonzalez-Martinez, A., De Simon-Martin, M., & Colmenar-Santos, A. (2022). Battery energy
storage performance in microgrids: A scientific mapping perspective. Energy Reports, 8, 259-268.