Open Access
Issue
E3S Web Conf.
Volume 448, 2023
The 8th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2023)
Article Number 02040
Number of page(s) 16
Section Information System
DOI https://doi.org/10.1051/e3sconf/202344802040
Published online 17 November 2023
  1. Y. Sabri, H. S. Zein, and E. Yusuf, “Optimal cost valuation for renewable power plants using PSO in rural area,” Int. J. Electr. Eng. Informatics, vol. 7, no. 4, pp. 613–629, 2015, doi: 10.15676/ijeei.2015.7.4.6. [CrossRef] [Google Scholar]
  2. P. S. Pravin, Z. Luo, L. Li, and X. Wang, “Learning-based scheduling of industrial hybrid renewable energy systems,” Comput. Chem. Eng., vol. 159, 2022, doi: 10.1016/j.compchemeng.2022.107665. [CrossRef] [Google Scholar]
  3. A. Singh, P. Baredar, and B. Gupta, “Techno-economic feasibility analysis of hydrogen fuel cell and solar photovoltaic hybrid renewable energy system for academic research building,” Energy Convers. Manag., vol. 145, pp. 398–414, 2017, doi: 10.1016/j.enconman.2017.05.014. [CrossRef] [Google Scholar]
  4. H. Farzaneh, “Design of a hybrid renewable energy system based on supercritical water gasification of biomass for off-grid power supply in Fukushima,” Energies, vol. 12, no. 14, 2019, doi: 10.3390/en12142709. [Google Scholar]
  5. N. Takatsu and H. Farzaneh, “Techno-economic analysis of a novel hydrogen-based hybrid renewable energy system for both grid-tied and off-grid power supply in Japan: The case of Fukushima prefecture,” Appl. Sci., vol. 10, no. 12, 2020, doi: 10.3390/APP10124061. [CrossRef] [Google Scholar]
  6. S. Rehman, H. U. R. Habib, S. Wang, M. S. Buker, L. M. Alhems, and H. Z. Al Garni, “Optimal Design and Model Predictive Control of Standalone HRES: A Real Case Study for Residential Demand Side Management,” IEEE Access, vol. 8, pp. 29767–29814, 2020, doi: 10.1109/ACCESS.2020.2972302. [CrossRef] [Google Scholar]
  7. K. Murugaperumal and P. Ajay D Vimal Raj, “Feasibility design and techno-economic analysis of hybrid renewable energy system for rural electrification,” Sol. Energy, vol. 188, pp. 1068–1083, 2019, doi: 10.1016/j.solener.2019.07.008. [CrossRef] [Google Scholar]
  8. A. Tiwary, S. Spasova, and I. D. Williams, “A community-scale hybrid energy system integrating biomass for localised solid waste and renewable energy solution: Evaluations in UK and Bulgaria,” Renew. Energy, vol. 139, pp. 960–967, 2019, doi: 10.1016/j.renene.2019.02.129. [CrossRef] [Google Scholar]
  9. V. Mudgal et al., “Optimization of a novel hybrid wind bio battery solar photovoltaic system integrated with phase change material,” Energies, vol. 14, no. 19, 2021, doi: 10.3390/en14196373. [CrossRef] [Google Scholar]
  10. H. Al-Najjar, H. J. El-Khozondar, C. Pfeifer, and R. Al Afif, “Hybrid grid-tie electrification analysis of bio-shared renewable energy systems for domestic application,” Sustain. Cities Soc., vol. 77, 2022, doi: 10.1016/j.scs.2021.103538. [CrossRef] [Google Scholar]
  11. A. Dahdal, J. Truby, and H. Botosh, “Trade finance in Qatar: blockchain and economic diversification,” Law Financ. Mark. Rev., vol. 14, no. 4, pp. 223–236, 2020, doi: 10.1080/17521440.2020.1833431. [CrossRef] [Google Scholar]
  12. B. Niu, F. Zeng, and Y. Liu, “Firms’ introduction of internet-based installment: Incremental demand vs. cash opportunity cost,” Transp. Res. Part E Logist. Transp. Rev., vol. 152, p. 102277, 2021, doi: https://doi.org/10.1016/j.tre.2021.102277. [CrossRef] [Google Scholar]
  13. M. Brolley and M. Zoican, “On-demand fast trading on decentralized exchanges,” Financ. Res. Lett., vol. 51, 2023, doi: 10.1016/j.frl.2022.103350. [CrossRef] [Google Scholar]
  14. V. Subramanian, I. Vairavasundaram, and B. Aljafari, “Analysis of Optimal Load Management Using a Stand-Alone Hybrid AC/DC Microgrid System,” Int. Trans. Electr. Energy Syst., vol. 2023, 2023, doi: 10.1155/2023/7519436. [CrossRef] [Google Scholar]
  15. Q. Tu, Z. Liu, B. Li, and J. Mo, “Achieving grid parity of offshore wind power in China–A comparative analysis among different provinces,” Comput. Ind. Eng., vol. 162, p. 107715, 2021, doi: https://doi.org/10.1016/j.cie.2021.107715. [CrossRef] [Google Scholar]
  16. S. Praveenkumar et al., “Techno-economic optimization of PV system for hydrogen production and electric vehicle charging stations under five different climatic conditions in India,” Int. J. Hydrogen Energy, vol. 47, no. 90, pp. 38087–38105, 2022, doi: 10.1016/j.ijhydene.2022.09.015. [CrossRef] [Google Scholar]
  17. A. A. DeFusco, H. Tang, and C. Yannelis, “Measuring the welfare cost of asymmetric information in consumer credit markets,” J. financ. econ., vol. 146, no. 3, pp. 821–840, 2022, doi: https://doi.org/10.1016/j.jfineco.2022.09.001. [CrossRef] [Google Scholar]
  18. A. Shaqour, H. Farzaneh, Y. Yoshida, and T. Hinokuma, “Power control and simulation of a building integrated stand-alone hybrid PV-wind-battery system in Kasuga City, Japan,” Energy Reports, vol. 6, pp. 1528–1544, 2020, doi: 10.1016/j.egyr.2020.06.003. [CrossRef] [Google Scholar]
  19. M. F. Ishraque, S. A. Shezan, J. N. Nur, and M. S. Islam, “Optimal Sizing and Assessment of an Islanded Photovoltaic-Battery-Diesel Generator Microgrid Applicable to a Remote School of Bangladesh,” Eng. Reports, vol. 3, no. 1, 2021, doi: 10.1002/eng2.12281. [CrossRef] [Google Scholar]
  20. J. Feist and G. Feist, “ISE Theories of Personality,” 2013. [Google Scholar]
  21. G. Jansen, Z. Dehouche, and H. Corrigan, “Cost-effective sizing of a hybrid Regenerative Hydrogen Fuel Cell energy storage system for remote & off-grid telecom towers,” Int. J. Hydrogen Energy, vol. 46, no. 35, pp. 18153–18166, 2021, doi: 10.1016/j.ijhydene.2021.02.205. [CrossRef] [Google Scholar]
  22. Z. Wang, X. Zhang, and A. Rezazadeh, “Hydrogen fuel and electricity generation from a new hybrid energy system based on wind and solar energies and alkaline fuel cell,” Energy Reports, vol. 7, pp. 2594–2604, 2021, doi: 10.1016/j.egyr.2021.04.060. [CrossRef] [Google Scholar]
  23. M. Dabirian, M. Kheradmandi, and M. Sedighizadeh, “Determination of the optimal capacity of electric hybrid renewable energy systems using a smart optimization algorithm,” IIOAB J., vol. 7, pp. 336–343, 2016, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997159390&partnerID=40&md5=a83e8a08ac0fa0817db226945b65236b [Google Scholar]
  24. S. A. Vaghefi, V. Muccione, R. Neukom, C. Huggel, and N. Salzmann, “Future trends in compound concurrent heat extremes in Swiss cities - An assessment considering deep uncertainty and climate adaptation options,” Weather Clim. Extrem., vol. 38, p. 100501, 2022, doi: https://doi.org/10.1016/j.wace.2022.100501. [CrossRef] [Google Scholar]
  25. M. Shahvaroughi Farahani and S. H. Razavi Hajiagha, “Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models,” Soft Comput., vol. 25, no. 13, pp. 8483–8513, 2021, doi: 10.1007/s00500-021-05775-5. [CrossRef] [PubMed] [Google Scholar]
  26. A. Fatih Güven and M. Mahmoud Samy, “Performance analysis of autonomous green energy system based on multi and hybrid metaheuristic optimization approaches,” Energy Convers. Manag., vol. 269, 2022, doi: 10.1016/j.enconman.2022.116058. [Google Scholar]
  27. S. Ajayan and A. Immanuel Selvakumar, “Metaheuristic optimization techniques to design solar-fuel cell-battery energy system for locomotives,” Int. J. Hydrogen Energy, vol. 47, no. 3, pp. 1845–1862, 2022, doi: 10.1016/j.ijhydene.2021.10.130. [CrossRef] [Google Scholar]
  28. R. Vatankhah Barenji, M. Ghadiri Nejad, and I. Asghari, “Optimally sized design of a wind/photovoltaic/fuel cell off-grid hybrid energy system by modified-gray wolf optimization algorithm,” Energy Environ., vol. 29, no. 6, pp. 1053–1070, 2018, doi: 10.1177/0958305X18768130. [CrossRef] [Google Scholar]
  29. R. Hou, A. Maleki, and P. Li, “Design optimization and optimal power management of standalone solar-hydrogen system using a new metaheuristic algorithm,” J. Energy Storage, vol. 55, 2022, doi: 10.1016/j.est.2022.105521. [Google Scholar]
  30. T. Hinokuma, H. Farzaneh, and A. Shaqour, “Techno-economic analysis of a fuzzy logic control based hybrid renewable energy system to power a university campus in Japan,” Energies, vol. 14, no. 7, 2021, doi: 10.3390/en14071960. [CrossRef] [Google Scholar]
  31. Suharyati and K. Utami, “Analysis of MSMEs Interest in Services Banking, Fintech and Cooperative,” Qual. - Access to Success, vol. 23, no. 187, pp. 213–221, 2022, doi: 10.47750/QAS/23.187.27. [Google Scholar]

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