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Original Article

Using Artificial Intelligence (AI) methods for effectively responding to climate change at marine ports

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Article: 2186589 | Received 18 Jan 2023, Accepted 27 Feb 2023, Published online: 06 Mar 2023

References

  • Alamoush, A., Ballini, F., & Dalaklis, D. (2021). Port sustainable supply chain management framework: Contributing to the United Nations’ sustainable development goals. Maritime Technology and Research, 3(2), 1–12. https://doi.org/10.33175/mtr.2021.247076
  • Anastasia, C., Dimitrios, D., Ölçer Aykut, I., & Masodzadeh Peyman, G. (2022, March 22). Decarbonising short sea shipping operations: Examining the efforts and outcomes of a Finnish shipping line’s relevant initiatives. Paper presented at the International Maritime and Logistics Conference “Marlog 11”: Towards a Sustainable Blue Economy, Alexandria-Egypt.
  • Askari, M., & Keynia, F. (2019). Mid-term electricity load forecasting by a new composite method based on optimal learning MLP algorithm. IET Generation, Transmissions and Distribution, 14(5), 845–852. https://doi.org/10.1049/iet-gtd.2019.0797
  • Dalaklis, D., Christodoulou, A., Ölçer, A. I., Ballini, F., Dalaklis, A., & Lagdami, K. (2022). The port of Gothenburg under the influence of the fourth stage of the industrial revolution: Implementing a wide portfolio of digital tools to optimize the conduct of operations. Maritime Technology and Research (MTR), 4(3), 25384. https://doi.org/10.33175/mtr.2022.253844
  • Dalaklis, D., & Nikitas, N. (2022, September 27-28). Exploiting Artificial Intelligence (AI) towards the optimization of navigation sensors for remote controlled and unmanned ships. Paper presented at the 6th NMIOTC Conference on Cyber Security in Maritime Domain, NATO Maritime Interdiction Operational Training Centre (NMIOTC), Chania, Greece.
  • D’amico, G., Depczyńska, K. S., Dembińska, I., & Ioppolo, G. (2021). Smart and sustainable logistics of port cities: A framework for comprehending enabling factors, domains and goals. Sustainable Cities and Societies, 69, 102801. https://doi.org/10.1016/j.scs.2021.102801
  • EC (European Commission). (2006) . Commission recommendation of 8 May 2006 on the promotion of shore-side electricity for use by ships at berth in Community ports. Official Journal of the European Union.
  • Eleni, I., & Maria, K. (2020, November). Symbolic Vs sub-symbolic AI methods: Friends or enemies? Paper presented at the CSSA’20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications co-located with CIKM2020, Online.
  • Fang, S., Wang, Y., Gou, B., & Xu, Y. (2020). Towards future green maritime transportation: An overview of seaport microgrids and all-electric ships. EEE Transactions on Vehicular Technology, 69(1), 207–219. https://doi.org/10.1109/TVT.2019.2950538
  • Hossain, M. A., Pota, H. R., Squartini, S., & Abdou, A. F. (2019). Modified PSO algorithm for real-time energy management in grid-connected microgrids. Renewable Energy, 136, 746–757. https://doi.org/10.1016/j.renene.2019.01.005
  • Kennedy, J., & Eberhar, R. (1995, November 27, December 1). Particle Swarm Optimization. Paper presented at the IEEE International Conference on Neural Networks, Australia.
  • Kotrikla, A., Lilas, T., & Nikitakos, N. (2017). Abatement of air pollution at an Aegean Island port utilizing shore side electricity and renewable energy. Marine Policy, 75, 238–248. https://doi.org/10.1016/j.marpol.2016.01.026
  • Kulbiej, E., & Piotr, W. (2017, June 21-23). Naval artificial intelligence. Paper presented at International Conference on Marine Navigation and Safety of Sea Transportation (TRANSNAV 2017), Gdynia, Poland.
  • Liu, Z., Sun, X., Wang, S., Pan, M., Zhang, Y., & Ji, Z. (2019). Midterm power load forecasting model based on kernel principal component analysis and back propagation neural network with particle swarm optimization. Big Data, 7(2), 130–138. https://doi.org/10.1089/big.2018.0118
  • Lokukaluge Prasad, P., & Brage, M. (2016, July 4-6). Machine intelligence for energy efficient ships: A big data solution. Paper presented at 3rd International Conference on Maritime Technology and Engineering - MARTECH 2016, Lisbon, Portugal.
  • Marini, F., & Walczak, B. (2015). Particle Swarm Optimization (PSO). A tutorial. Chemometrics and Intelligent Laboratory Systems, 149(B), 153–165. https://doi.org/10.1016/j.chemolab.2015.08.020
  • Martín, A. M., Thelwall, M., Malea, E. O., & Cózar, E. D. L. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: A multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871–906. https://doi.org/10.1007/s11192-020-03690-4
  • Mohamed, M. A., Eltamaly, A. M., & Alolah, A. I. (2016). PSO-Based smart grid application for sizing and optimization of hybrid renewable energy systems. PLoS One, 11(8), 1–22. https://doi.org/10.1371/journal.pone.0159702
  • Momoh, J. (2012). Smart grid: Fundamentals of design and analysis. Wiley-IEEE Press.
  • Nikishin, A. J., & Kharitonov, M. S. (2021). Modernization of marine ports electrical power supply systems in the framework of zero-emission strategy. IOP Conference Series: Earth and Environmental Science 689. https://doi.org/10.1088/1755-1315/689/1/012018
  • Nikitakos, N. (2012). Green logistics - the concept of zero emissions port. FME Transactions, 40(4), 201–206.
  • Nikitas, N., Ioannis, D., Kofinas, P., & Dimitrios, P. (2019, July 1-2). Green logistics - the concept of zero emissions port based on PSO. Paper presented at XXIII International Conference on Material Handling, Constructions and Logistics, Bar, Montenegro.
  • Nor Baizura, A., Muzaidi, O., Vasquez Juan, C., Guerrero Josep, M., & Chun-Lien, S. (2018, February 20-22). Optimal sizing and performance evaluation of a renewable energy based microgrid in future seaports. Paper presented at IEEE International Conference on Industrial Technology (ICIT), Lyon, France.
  • Omitaomu, O. A., & Niu, H. (2021). Artificial intelligence techniques in smart grid: A survey. Smart Cities, 4(2), 548–568. https://doi.org/10.3390/smartcities4020029
  • O’regan, G. (2012). Artificial Intelligence. In I. Mackie (Ed.) A brief history of computing (pp. 249–273). Springer.
  • Paulitschke, M., Bocklisch, T., & Böttiger, M. (2015). Sizing algorithm for a PV-battery-H2-hybrid system employing particle swarm optimization. Energy Procedia, 73, 154–162. https://doi.org/10.1016/j.egypro.2015.07.664
  • Perera, L. P., & Mo, B. (2017). Machine intelligence based data handling framework for ship energy efficiency. IEEE Transactions on Vehicular Technology, 66(10), 8659–8666. https://doi.org/10.1109/TVT.2017.2701501
  • Roy, A., Auger, F., Olivier, J. C., Schaeer, E., & Auvity, B. (2020). Design, sizing, and energy management of microgrids in harbor areas: A review. Energies, 13(20), 5314. https://doi.org/10.3390/en13205314
  • Rui, Y., Song, G., & Wei, Z. (2020, November 6-8). Application research of dynamic static reactive power compensation technology in ship shore power system. Paper presented at IEEE International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), Chongqing, China.
  • Solomonoff, R. (1960). A preliminary report on a general theory of inductive inference. Zator Co.
  • Stolz, B., Held, M., Georges, G., & Boulouchos, K. (2021). The CO2 reduction potential of shore-side electricity in Europe. Applied Energy, 285, 116425. https://doi.org/10.1016/j.apenergy.2020.116425
  • Tzannatos, E. (2010). Cost assessment of ship emission reduction methods at berth: The case of the port of Piraeus, Greece. Maritime Policy & Management, 37(4), 427–445. https://doi.org/10.1080/03088839.2010.486655
  • Valery, B., Nikishin, A., & Dmitriy, G. (2018). Stately of Metropolis Electrical Energy Supply. In I. Zelinka, P. Brandstetter, T. Trong Dao, V. Hoang Duy, & S. Kim (Eds.), AETA 2018 - recent advances in electrical engineering and related sciences: Theory and application. AETA 2018. lecture notes in electrical engineering (pp. 870–879). Springer.
  • Wärtsilä Encyclopedia of Marine and Energy Technology. (2023). Cold ironing. Retrived December 5, 2022, from https://www.wartsila.com/encyclopedia/term/cold-ironing
  • Yan-Ping, M., Bin, Y., You-Fang, H., Yong-Sheng, Y., & Zhi-Hua, H. (2009, December 26-27). A decision support framework for port efficiency discovery based on intelligent data integration. Paper presented at International Conference on Information Management, Innovation Management and Industrial Engineering, Xi’an, China.
  • Yimin, Z., Yanfeng, C., Guoqing, X., Zhang, Q., & Ludovic, K. 2014. Home energy management with PSO in smart grid. Paper presented at EEE 23rd International Symposium on Industrial Electronics (ISIE), Istanbul, June 1-4.