{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:38:02Z","timestamp":1743086282279,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031248658"},{"type":"electronic","value":"9783031248665"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-24866-5_5","type":"book-chapter","created":{"date-parts":[[2023,2,4]],"date-time":"2023-02-04T19:02:42Z","timestamp":1675537362000},"page":"58-76","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Optimal Energy Management of\u00a0Microgrid Using Multi-objective Optimisation Approach"],"prefix":"10.1007","author":[{"given":"Yahia","family":"Amoura","sequence":"first","affiliation":[]},{"given":"Ana I.","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9","family":"Lima","sequence":"additional","affiliation":[]},{"given":"\u00c2ngela","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"Fouad","family":"Boukli-Hacene","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,5]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Escrivani, G.R., Luna, A.S., Torres, A.R.: Operating parameters for bio-oil production in biomass pyrolysis: a review. J. Anal. Appl. Pyrol. 129, 134\u2013149 (2018)","DOI":"10.1016\/j.jaap.2017.11.019"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Vittal, H., Oldrich, R., Yannis, M.: Increased future occurrences of the exceptional 2018\u20132019 Central European drought under global warming. Sci. Rep. Nature Publisher Group 10(1)(2020)","DOI":"10.1038\/s41598-020-68872-9"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Tsikalakis, A.G., Hatziargyriou, N.D.: Centralized control for optimizing microgrids operation. In: 2011 IEEE Power and Energy Society General Meeting. IEEE (2011)","DOI":"10.1109\/PES.2011.6039737"},{"issue":"1","key":"5_CR4","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.renene.2009.02.031","volume":"35","author":"H Morais","year":"2010","unstructured":"Morais, H., K\u00e1d\u00e1r, P., Faria, P., Vale, Z.A., Khodr, H.M.: Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming. Renew. Energy 35(1), 151\u2013156 (2010)","journal-title":"Renew. Energy"},{"issue":"6","key":"5_CR5","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1080\/07313569108909560","volume":"19","author":"SM Shahidehpour","year":"1991","unstructured":"Shahidehpour, S.M., Tong, S.K.: An overview of power generation scheduling in the optimal operation of a large scale power system. Electr. Mach. Power Syst. 19(6), 731\u2013762 (1991)","journal-title":"Electr. Mach. Power Syst."},{"issue":"9","key":"5_CR6","doi-asserted-by":"publisher","first-page":"2472","DOI":"10.1016\/j.rser.2007.06.004","volume":"12","author":"H Jiayi","year":"2008","unstructured":"Jiayi, H., Chuanwen, J., Rong, X.: A review on distributed energy resources and MicroGrid. Renew. Sustain. Energy Rev. 12(9), 2472\u20132483 (2008)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"5_CR7","unstructured":"Voumvoulakis, E., Skotinos, I., Tsouchakinas, A.: Transient analysis of microgrids in Grid-connected and islanded mode of Operation. Fuel 2, 30 (2004)"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Lund, P.D., et al.: Review of energy system flexibility measures to enable high levels of variable renewable electricity. Renew. Sustain. Energy Rev. 45, 785\u2013807 (2015)","DOI":"10.1016\/j.rser.2015.01.057"},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1016\/j.enconman.2012.06.010","volume":"64","author":"FA Mohamed","year":"2012","unstructured":"Mohamed, F.A., Koivo, H.N.: Online management genetic algorithms of microgrid for residential application. Energy Convers. Manage. 64, 562\u2013568 (2012)","journal-title":"Energy Convers. Manage."},{"issue":"3","key":"5_CR10","doi-asserted-by":"publisher","first-page":"516","DOI":"10.3390\/app5030516","volume":"5","author":"Z Liu","year":"2015","unstructured":"Liu, Z., Chen, C., Yuan, J.: Hybrid energy scheduling in a renewable micro grid. Appl. Sci. 5(3), 516\u2013531 (2015)","journal-title":"Appl. Sci."},{"key":"5_CR11","first-page":"193","volume":"3","author":"SAP Kani","year":"2010","unstructured":"Kani, S.A.P., Colson, C.M., Nehrir, H., Wang, C.: Real-time energy management of a stand-alone hybrid wind-microturbine energy system using particle swarm optimization. IEEE Trans. Sustain. Energy 3, 193\u2013201 (2010)","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"5_CR12","first-page":"56","volume":"24","author":"G Granelli","year":"1992","unstructured":"Granelli, G., Montagna, M., Pasini, G., Marannino, P.: Emission constrained dynamic dispatch. Electric Power Sys. 24, 56\u201364 (1992)","journal-title":"Electric Power Sys."},{"key":"5_CR13","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.enconman.2014.03.022","volume":"83","author":"M Motevasel","year":"2014","unstructured":"Motevasel, M., Seif, A.R.: Expert energy management of a micro-grid considering wind energy uncertainty. Energy Convers. Manage. 83, 58\u201372 (2014)","journal-title":"Energy Convers. Manage."},{"key":"5_CR14","doi-asserted-by":"publisher","first-page":"6490","DOI":"10.1016\/j.energy.2011.09.017","volume":"36","author":"AA Moghaddam","year":"2011","unstructured":"Moghaddam, A.A., Seif, A., Niknam, T., Pahlavani, M.R.A.: Multi-objective operation management of a renewable mg (micro-grid) with back-up micro-turbine\/fuel cell\/battery hybrid power source. Energy 36, 6490\u20136507 (2011)","journal-title":"Energy"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Chen, C., Cai, D., Hu, L.: Smart energy management system for optimal microgrid economic operation. IET Renew. Power Gener. 5, 258\u2013267 (2011)","DOI":"10.1049\/iet-rpg.2010.0052"},{"key":"5_CR16","first-page":"25","volume":"6","author":"J Chen","year":"2012","unstructured":"Chen, J., Wang, C., Zhao, B., Zhang, X.: Economic operation optimization of a stand-alone microgrid system considering characteristics of energy storage system. Electric Power Syst. 6, 25\u201331 (2012)","journal-title":"Electric Power Syst."},{"key":"5_CR17","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1016\/j.renene.2019.01.005","volume":"136","author":"MA Hossain","year":"2018","unstructured":"Hossain, M.A., Pota, H.R., Squartini, S., Abdou, A.F.: Modified PSO algorithm for real-time energy management in grid-connected microgrids. Renew. Energy 136, 746\u2013757 (2018)","journal-title":"Renew. Energy"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Moghaddam, A.A., et al.: Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine\/fuel cell\/battery hybrid power source. Energy 36(11), 6490\u20136507 (2011)","DOI":"10.1016\/j.energy.2011.09.017"},{"key":"5_CR19","doi-asserted-by":"publisher","first-page":"2480","DOI":"10.1016\/j.eswa.2007.04.016","volume":"34","author":"C Lin","year":"2008","unstructured":"Lin, C., Gen, M.: Multi-criteria human resource allocation for solving multistage combinatorial optimization problems using multiobjective hybrid genetic algorithm. Expert Syst. Appl. 34, 2480\u20132490 (2008)","journal-title":"Expert Syst. Appl."},{"key":"5_CR20","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1137\/S1052623400378742","volume":"13","author":"C Audet","year":"2002","unstructured":"Audet, C., Dennis, E.: Analysis of generalized pattern searches. SIAM J. Optim. 13, 889\u2013903 (2002)","journal-title":"SIAM J. Optim."},{"key":"5_CR21","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1016\/j.eswa.2006.06.019","volume":"33","author":"P Chang","year":"2007","unstructured":"Chang, P., Chen, S., Liu, C.: Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems. Expert Syst. Appl. 33, 762\u2013771 (2007)","journal-title":"Expert Syst. Appl."},{"key":"5_CR22","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1137\/040603371","volume":"17","author":"C Audet","year":"2006","unstructured":"Audet, C., Dennis, E.: Mesh adaptive direct search algorithms for constrained optimization. SIAM J. Optim. 17, 188\u2013217 (2006)","journal-title":"SIAM J. Optim."},{"key":"5_CR23","unstructured":"Amoura, Y., Pereira, A.I., Lima, J., Ferreira, A., Boukli-hacene, F.: Optimal energy management of a microgrid system. In: Symposium of Applied Science for Young Researchers SASYR (2021)"},{"key":"5_CR24","doi-asserted-by":"crossref","unstructured":"Amoura, Y., Pereira, A.I., Lima, J.: A short term wind speed forecasting model using artificial neural network and adaptive neuro-fuzzy inference system models. In: International Conference on Sustainable Energy for Smart Cities (2021)","DOI":"10.1007\/978-3-030-97027-7_12"},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"Amoura, Y., Ferreira, A., Lima, J., Pereira, A.I.: Optimal sizing of a hybrid energy system based on renewable energy using evolutionary optimization algorithms. In: International Conference on Optimization, Learning Algorithms and Applications (2021)","DOI":"10.1007\/978-3-030-91885-9_12"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"Amoura, Y., Pereira, A.I, Lima, J.: Optimization methods for energy management in a microgrid system considering wind uncertainty data. In: Proceedings of International Conference on Communication and Computational Technologies (2021)","DOI":"10.1007\/978-981-16-3246-4_10"},{"key":"5_CR27","unstructured":"Amoura, Y., Pereira, A.I., Lima, J., Ferreira, A., Boukli-hacene, F., Kerboua, A.: Smart Microgrid Management: a Hybrid Optimisation Approach, Preprint on Energy Sustainability and Society"}],"container-title":["Lecture Notes in Computer Science","Learning and Intelligent Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-24866-5_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,4]],"date-time":"2023-02-04T19:03:28Z","timestamp":1675537408000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-24866-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031248658","9783031248665"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-24866-5_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"5 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LION","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Learning and Intelligent Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milos Island","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"lion2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lion16.sba-research.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}