{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T21:21:17Z","timestamp":1758057677592,"version":"3.44.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032051783","type":"print"},{"value":"9783032051790","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-05179-0_35","type":"book-chapter","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T21:43:33Z","timestamp":1757972613000},"page":"464-476","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Quay Crane Operations Considering Energy Consumption"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0465-3862","authenticated-orcid":false,"given":"Jo\u00e3o Pedro Rebelo","family":"de Almeida","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6013-476X","authenticated-orcid":false,"given":"Adrian","family":"Carrillo-Galvez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3699-0045","authenticated-orcid":false,"given":"John Pe\u00f1aloza","family":"Mor\u00e1n","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4708-4574","authenticated-orcid":false,"given":"Tiago Andr\u00e9","family":"Soares","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6499-3596","authenticated-orcid":false,"given":"Zenaida Sobral","family":"Mour\u00e3o","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,16]]},"reference":[{"key":"35_CR1","doi-asserted-by":"publisher","unstructured":"Alasali, F., Haben, S., Becerra, V., Holderbaum, W.: Optimal energy management and MPC strategies for electrified RTG cranes with energy storage systems. Energies 10(10), 1598 (2017). https:\/\/doi.org\/10.3390\/en10101598, https:\/\/www.mdpi.com\/1996-1073\/10\/10\/1598","DOI":"10.3390\/en10101598"},{"key":"35_CR2","doi-asserted-by":"publisher","unstructured":"Alasali, F., Haben, S., Holderbaum, W.: Energy management systems for a network of electrified cranes with energy storage. Int. J. Electr. Power Energy Syst. 106, 210\u2013222 (2019). https:\/\/doi.org\/10.1016\/j.ijepes.2018.10.001, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0142061518315631","DOI":"10.1016\/j.ijepes.2018.10.001"},{"key":"35_CR3","doi-asserted-by":"publisher","unstructured":"Azza, L., El\u00a0merouani, M., Medouri, A.: Ant colony system for solving Quay crane scheduling problem in container terminal. In: 2014 International Conference on Logistics Operations Management, pp. 176\u2013180 (2014). https:\/\/doi.org\/10.1109\/GOL.2014.6887437, https:\/\/ieeexplore.ieee.org\/document\/6887437\/authors","DOI":"10.1109\/GOL.2014.6887437"},{"key":"35_CR4","doi-asserted-by":"publisher","unstructured":"Barto\u0161ek, A., Marek, O.: Quay cranes in container terminals. Trans. Transp. Sci. 6(1), 9\u201318 (2013). https:\/\/doi.org\/10.2478\/v10158-012-0027-y, http:\/\/tots.upol.cz\/doi\/10.2478\/v10158-012-0027-y.html","DOI":"10.2478\/v10158-012-0027-y"},{"key":"35_CR5","doi-asserted-by":"publisher","unstructured":"Bolonne, S., Chandima, D.: Modeling and simulation of an electromechanical system for a hybrid rubber tire gantry crane. In: 2018 2nd International Conference on Electrical Engineering (EECon), pp. 14\u201320 (2018). https:\/\/doi.org\/10.1109\/EECon.2018.8540991, https:\/\/ieeexplore.ieee.org\/document\/8540991\/?arnumber=8540991","DOI":"10.1109\/EECon.2018.8540991"},{"key":"35_CR6","doi-asserted-by":"publisher","unstructured":"Chargui, K., Zouadi, T., Sreedharan, V.R.: Berth and quay crane allocation and scheduling problem with renewable energy uncertainty: a robust exact decomposition. Comput. Oper. Res. 156, 106251 (2023). https:\/\/doi.org\/10.1016\/j.cor.2023.106251, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0305054823001156","DOI":"10.1016\/j.cor.2023.106251"},{"key":"35_CR7","doi-asserted-by":"publisher","unstructured":"He, J., Huang, Y., Yan, W.: Yard crane scheduling in a container terminal for the trade-off between efficiency and energy consumption. Adv. Eng. Inform. 29(1), 59\u201375 (2015). https:\/\/doi.org\/10.1016\/j.aei.2014.09.003, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1474034614000901","DOI":"10.1016\/j.aei.2014.09.003"},{"key":"35_CR8","doi-asserted-by":"publisher","unstructured":"Iris, \u00c7., Lam, J.S.L.: Optimal energy management and operations planning in seaports with smart grid while harnessing renewable energy under uncertainty. Omega 103, 102445 (2021). https:\/\/doi.org\/10.1016\/j.omega.2021.102445, https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0305048321000542","DOI":"10.1016\/j.omega.2021.102445"},{"key":"35_CR9","doi-asserted-by":"publisher","unstructured":"Kanellos, F.D., Volanis, E.S.M., Hatziargyriou, N.D.: Power management method for large ports with multi-agent systems. IEEE Trans. Smart Grid 10(2), 1259\u20131268 (2019). https:\/\/doi.org\/10.1109\/TSG.2017.2762001, https:\/\/ieeexplore.ieee.org\/document\/8064731","DOI":"10.1109\/TSG.2017.2762001"},{"key":"35_CR10","doi-asserted-by":"publisher","unstructured":"Kermani, M., Parise, G., Chavdarian, B., Martirano, L.: Ultracapacitors for port crane applications: sizing and techno-economic analysis. Energies 13(8), 2091 (2020). https:\/\/doi.org\/10.3390\/en13082091, https:\/\/www.mdpi.com\/1996-1073\/13\/8\/2091","DOI":"10.3390\/en13082091"},{"key":"35_CR11","doi-asserted-by":"publisher","unstructured":"Kim, G., Lee, G., An, S., Lee, J.: Forecasting future electric power consumption in Busan New Port using a deep learning model. Asian J. Shipp. Logist. 39(2), 78\u201393 (2023). https:\/\/doi.org\/10.1016\/j.ajsl.2023.04.001, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2092521223000184","DOI":"10.1016\/j.ajsl.2023.04.001"},{"key":"35_CR12","unstructured":"Konecranes: Ship-to-shore crane (STS) technical datasheet (2024). https:\/\/www.konecranes.com\/system\/files\/2024-04\/7593_sts_monobox_technical_doc_v2.pdf. Accessed 15 May 2025"},{"key":"35_CR13","doi-asserted-by":"publisher","unstructured":"Montemanni, R., Smith, D., Rizzoli, A., Gambardella, L.: Sequential ordering problems for crane scheduling in port terminals. Int. J. Simul. Process Modell. 5(4), 348 (2009). https:\/\/doi.org\/10.1504\/IJSPM.2009.032597, http:\/\/www.inderscience.com\/link.php?id=32597","DOI":"10.1504\/IJSPM.2009.032597"},{"issue":"10","key":"35_CR14","doi-asserted-by":"publisher","first-page":"7837","DOI":"10.1109\/TPEL.2016.2632202","volume":"32","author":"W Niu","year":"2017","unstructured":"Niu, W., et al.: Sizing of energy system of a hybrid lithium battery RTG crane. IEEE Trans. Power Electron. 32(10), 7837\u20137844 (2017). https:\/\/doi.org\/10.1109\/TPEL.2016.2632202","journal-title":"IEEE Trans. Power Electron."},{"key":"35_CR15","doi-asserted-by":"publisher","unstructured":"Sadiq, M., et al.: Future greener seaports: a review of new infrastructure, challenges, and energy efficiency measures. IEEE Access 9, 75568\u201375587 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3081430, https:\/\/ieeexplore.ieee.org\/document\/9433559","DOI":"10.1109\/ACCESS.2021.3081430"},{"key":"35_CR16","doi-asserted-by":"publisher","unstructured":"Sha, M., et al.: Scheduling optimization of yard cranes with minimal energy consumption at container terminals. Comput. Industr. Eng. 113, 704\u2013713 (2017). https:\/\/doi.org\/10.1016\/j.cie.2016.03.022, https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S036083521630095X","DOI":"10.1016\/j.cie.2016.03.022"},{"key":"35_CR17","doi-asserted-by":"publisher","unstructured":"Skaf, A., Lamrous, S., Hammoudan, Z., Manier, M.A.: Solving methods for the quay crane scheduling problem at port of Tripoli-Lebanon. RAIRO - Oper. Res. 55(1), 115\u2013133 (2021). https:\/\/doi.org\/10.1051\/ro\/2020135, https:\/\/www.rairo-ro.org\/10.1051\/ro\/2020135","DOI":"10.1051\/ro\/2020135"},{"key":"35_CR18","doi-asserted-by":"publisher","unstructured":"Takalani, R.L.E., Masisi, L.: Development of an optimal port crane trajectory for reduced energy consumption. Energies 16(20), 7172 (2023). https:\/\/doi.org\/10.3390\/en16207172, https:\/\/www.mdpi.com\/1996-1073\/16\/20\/7172","DOI":"10.3390\/en16207172"},{"key":"35_CR19","doi-asserted-by":"publisher","unstructured":"Vlahopoulos, D., Bouhouras, A.S.: Solution for RTG crane power supply with the use of a hybrid energy storage system based on literature review. Sustain. Energy Technol. Assess. 52, 102351 (2022). https:\/\/doi.org\/10.1016\/j.seta.2022.102351, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2213138822004039","DOI":"10.1016\/j.seta.2022.102351"},{"key":"35_CR20","unstructured":"Yang, K.H.: The influence of the quay crane traveling time for the quay crane scheduling problem. In: Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS), pp. 1298\u20131301 (2012). https:\/\/www.iaeng.org\/publication\/IMECS2012\/IMECS2012_pp1298-1301.pdf"},{"key":"35_CR21","doi-asserted-by":"publisher","unstructured":"Zhao, N., Schofield, N., Niu, W., Suntharalingam, P., Zhang, Y.: Hybrid power-train for port crane energy recovery. In: 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), pp.\u00a01\u20136 (2014). https:\/\/doi.org\/10.1109\/ITEC-AP.2014.6941043, https:\/\/ieeexplore.ieee.org\/document\/6941043","DOI":"10.1109\/ITEC-AP.2014.6941043"},{"key":"35_CR22","doi-asserted-by":"publisher","unstructured":"Zhao, N., Fu, Z., Sun, Y., Pu, X., Luo, L.: Digital-twin driven energy-efficient multi-crane scheduling and crane number selection in workshops. J. Clean. Prod. 336, 130175 (2022). https:\/\/doi.org\/10.1016\/j.jclepro.2021.130175, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0959652621043407","DOI":"10.1016\/j.jclepro.2021.130175"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05179-0_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T21:43:34Z","timestamp":1757972614000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05179-0_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,16]]},"ISBN":["9783032051783","9783032051790"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05179-0_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,16]]},"assertion":[{"value":"16 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that\u00a0are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"EPIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EPIA Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Faro","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"epia2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/epia2025.ualg.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}