{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:45:37Z","timestamp":1743007537506,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030720612"},{"type":"electronic","value":"9783030720629"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-72062-9_54","type":"book-chapter","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T00:15:18Z","timestamp":1616544918000},"page":"684-696","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7200-4244","authenticated-orcid":false,"given":"Jiangjiao","family":"Xu","sequence":"first","affiliation":[]},{"given":"Ke","family":"Li","sequence":"additional","affiliation":[]},{"given":"Mohammad","family":"Abusara","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,24]]},"reference":[{"key":"54_CR1","unstructured":"Agency, I.E.: Electricity Information 2016 (2016)"},{"key":"54_CR2","doi-asserted-by":"crossref","unstructured":"Sinha, A.K., Kumar, N.: Demand response management of smart grids using dynamic pricing. In: 2016 International Conference on Inventive Computation Technologies (ICICT), vol. 1, pp. 1\u20134 (2016)","DOI":"10.1109\/INVENTIVE.2016.7823253"},{"issue":"2","key":"54_CR3","first-page":"879","volume":"7","author":"M Yu","year":"2016","unstructured":"Yu, M., Hong, S.H.: A real-time demand-response algorithm for smart grids: a Stackelberg game approach. IEEE Trans. Smart Grid 7(2), 879\u2013888 (2016)","journal-title":"IEEE Trans. Smart Grid"},{"issue":"3","key":"54_CR4","doi-asserted-by":"publisher","first-page":"1364","DOI":"10.1109\/TSG.2014.2376522","volume":"6","author":"W Wei","year":"2015","unstructured":"Wei, W., Liu, F., Mei, S.: Energy pricing and dispatch for smart grid retailers under demand response and market price uncertainty. IEEE Trans. Smart Grid 6(3), 1364\u20131374 (2015)","journal-title":"IEEE Trans. Smart Grid"},{"key":"54_CR5","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.apenergy.2015.10.119","volume":"167","author":"L Bai","year":"2016","unstructured":"Bai, L., Li, F., Cui, H., Jiang, T., Sun, H., Zhu, J.: Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty. Appl. Energy 167, 270\u2013279 (2016)","journal-title":"Appl. Energy"},{"issue":"4","key":"54_CR6","doi-asserted-by":"publisher","first-page":"2139","DOI":"10.1109\/TSG.2013.2265556","volume":"4","author":"S Salinas","year":"2013","unstructured":"Salinas, S., Li, M., Li, P., Fu, Y.: Dynamic energy management for the smart grid with distributed energy resources. IEEE Trans. Smart Grid 4(4), 2139\u20132151 (2013)","journal-title":"IEEE Trans. Smart Grid"},{"key":"54_CR7","doi-asserted-by":"crossref","unstructured":"Fahrioglu, M., Alvarado, F.L.: Using utility information to calibrate customer demand management behavior models. In: 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No. 02CH37309), vol. 1, p. 26 (2002)","DOI":"10.1109\/PESW.2002.984935"},{"issue":"2","key":"54_CR8","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1109\/JAS.2017.7510529","volume":"4","author":"Q Dong","year":"2017","unstructured":"Dong, Q., Yu, L., Song, W., Yang, J., Wu, Y., Qi, J.: Fast distributed demand response algorithm in smart grid. IEEE\/CAA J. Automatica Sinica 4(2), 280\u2013296 (2017)","journal-title":"IEEE\/CAA J. Automatica Sinica"},{"issue":"3","key":"54_CR9","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.1109\/TPWRS.2005.852060","volume":"20","author":"AL Dimeas","year":"2005","unstructured":"Dimeas, A.L., Hatziargyriou, N.D.: Operation of a multiagent system for microgrid control. IEEE Trans. Power Syst. 20(3), 1447\u20131455 (2005)","journal-title":"IEEE Trans. Power Syst."},{"key":"54_CR10","first-page":"325","volume":"5","author":"S Mannor","year":"2004","unstructured":"Mannor, S., Shimkin, N.: A geometric approach to multi-criterion reinforcement learning. J. Mach. Learn. Res. 5, 325\u2013360 (2004)","journal-title":"J. Mach. Learn. Res."},{"key":"54_CR11","unstructured":"Tsitsiklis, J.N.: Asynchronous stochastic approximation and Q learning. In: Proceedings of 32nd IEEE Conference on Decision and Control, vol. 1, pp. 395\u2013400 (1993)"},{"key":"54_CR12","unstructured":"Zeng, F., Zong, Q., Sun, Z., Dou, L.: Self-adaptive multi-objective optimization method design based on agent reinforcement learning for elevator group control systems. In: 2010 8th World Congress on Intelligent Control and Automation, pp. 2577\u20132582 (2010)"},{"issue":"5","key":"54_CR13","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1109\/TEVC.2014.2373386","volume":"19","author":"K Li","year":"2015","unstructured":"Li, K., Deb, K., Zhang, Q., Kwong, S.: An evolutionary many-objective optimization algorithm based on dominance and decomposition. IEEE Trans. Evol. Comput. 19(5), 694\u2013716 (2015)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"54_CR14","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/TEVC.2017.2669638","volume":"22","author":"R Chen","year":"2018","unstructured":"Chen, R., Li, K., Yao, X.: Dynamic multiobjectives optimization with a changing number of objectives. IEEE Trans. Evol. Comput. 22(1), 157\u2013171 (2018)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"54_CR15","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/TEVC.2018.2855411","volume":"23","author":"K Li","year":"2019","unstructured":"Li, K., Chen, R., Fu, G., Yao, X.: Two-archive evolutionary algorithm for constrained multiobjective optimization. IEEE Trans. Evol. Comput. 23(2), 303\u2013315 (2019)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"54_CR16","volume-title":"Microeconomic Theory","author":"JR Green","year":"1995","unstructured":"Green, J.R., Mas-Colell, A., Whinston, M.: Microeconomic Theory. Oxford University Press, New York (1995)"},{"key":"54_CR17","unstructured":"Deane, L.: One million faulty smart meters were installed in British homes. The Daily Mail, March 2020"},{"key":"54_CR18","doi-asserted-by":"crossref","unstructured":"Das, I., Dennis, J.E.: A closer look at drawbacks of minimizing weighted sums of objectives for pareto set generation in multicriteria optimization problems. In: Structural Optimization, vol. 14, pp. 63\u201369 (1997)","DOI":"10.1007\/BF01197559"},{"key":"54_CR19","unstructured":"Dunford, N., Schwartz, J.T., Bade, W.G., Bartle, R.G.: Linear Operators: General Theory. Part I. Interscience Publishers (1998)"},{"key":"54_CR20","doi-asserted-by":"crossref","unstructured":"Yu, N., Yu, J.: Optimal TOU decision considering demand response model. In: International Conference on Power System Technology 2006, pp. 1\u20135 (2006)","DOI":"10.1109\/ICPST.2006.321461"}],"container-title":["Lecture Notes in Computer Science","Evolutionary Multi-Criterion Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-72062-9_54","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T18:03:05Z","timestamp":1724695385000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-72062-9_54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030720612","9783030720629"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-72062-9_54","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"24 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EMO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Evolutionary Multi-Criterion Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 March 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"emo2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.emo2021.org\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"120","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":"47","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":"14","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":"39% - 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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}