{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:44:41Z","timestamp":1742939081073,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031505706"},{"type":"electronic","value":"9783031505713"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-50571-3_11","type":"book-chapter","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T08:02:33Z","timestamp":1708416153000},"page":"144-157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Smooth Switching Control Method for Parallel and Off Grid of Distributed Photovoltaic Power Grid Based on Deep Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Xinran","family":"Liu","sequence":"first","affiliation":[]},{"given":"Wenyu","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Lu","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Haishan","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Yudan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yanfa","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,21]]},"reference":[{"key":"11_CR1","unstructured":"Wang, Z., Zhang, J., Zhang, Y.: Research on photovoltaic output power prediction method based on machine learning. Comput. Simul. 37(4), 71\u201375,163 (2020)"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"T\u00e9var-Bartolom\u00e9, G., G\u00f3mez-Exp\u00f3sito, A., Arcos-Vargas, A., Rodr\u00edguez-Monta\u00f1\u00e9s, M.: Network impact of increasing distributed PV hosting: A utility-scale case study. Solar Energy 217, 173\u2013186 (2021)","DOI":"10.1016\/j.solener.2021.01.066"},{"key":"11_CR3","unstructured":"Qu, Y., Zeng Kai, O., Hong, Z., et al.: Island detection and seamless switching control of pv-bes microgrid with phase-locked loop based on improved Gaussian filter. Adv. Power Syst. Hydroelectr. Eng. 38(7), 38\u201346 (2022)"},{"issue":"9","key":"11_CR4","first-page":"1761","volume":"36","author":"X Shiwei","year":"2021","unstructured":"Shiwei, X., Qingquan, J., Pan, L., et al.: Efficiency improvement control strategy for photovoltaic generation through dc dynamic reconfiguration. Trans. China Electrotech. Society 36(9), 1761\u20131770 (2021)","journal-title":"Trans. China Electrotech. Society"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Chang, W., Wu, L., Wu, C., et al.: Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork. Chinese J. Aeronaut. 33(11), 110\u2013125 (2020)","DOI":"10.1016\/j.cja.2020.05.001"},{"issue":"12","key":"11_CR6","doi-asserted-by":"publisher","first-page":"101360","DOI":"10.1016\/j.aei.2021.101360","volume":"49","author":"Q Liu","year":"2021","unstructured":"Liu, Q., Liu, Z., Xiong, B., et al.: Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function[J]. Adv. Eng. Inform. 49(12), 101360 (2021)","journal-title":"Adv. Eng. Inform."},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Patel, N., Gupta, N., Kumar, A., Babu, B.C., et al.: Pseudo affine projection assisted multitasking approach for power quality improvement in grid-interactive photovoltaic (PV) system. IET Power Electron. 13(13), 2905\u20132916 (2020)","DOI":"10.1049\/iet-pel.2019.1006"},{"issue":"10","key":"11_CR8","doi-asserted-by":"publisher","first-page":"1710","DOI":"10.1049\/iet-rpg.2019.1174","volume":"14","author":"R Bakhshi-Jafarabadi","year":"2020","unstructured":"Bakhshi-Jafarabadi, R., Sadeh, J.: New voltage feedback-based islanding detection method for grid-connected photovoltaic systems of microgrid with zero non-detection zone. IET Renew. Power Gener.Gener. 14(10), 1710\u20131719 (2020)","journal-title":"IET Renew. Power Gener.Gener."},{"issue":"5","key":"11_CR9","doi-asserted-by":"publisher","first-page":"4780","DOI":"10.1109\/TPEL.2019.2946586","volume":"35","author":"AA Hussein","year":"2020","unstructured":"Hussein, A.A., Chen, X., Alharbi, M., et al.: Design of a grid-tie photovoltaic system with a controlled total harmonic distortion and tri maximum power point tracking. IEEE Trans. Power Electron. 35(5), 4780\u20134790 (2020)","journal-title":"IEEE Trans. Power Electron."},{"issue":"1","key":"11_CR10","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.jfranklin.2020.10.009","volume":"358","author":"C Ai","year":"2020","unstructured":"Ai, C., Gao, W., Chen, L., et al.: Bivariate grid-connection speed control of hydraulic wind turbines. J. Franklin Inst. 358(1), 296\u2013320 (2020)","journal-title":"J. Franklin Inst."},{"issue":"4","key":"11_CR11","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1049\/iet-rpg.2019.0126","volume":"14","author":"W Du","year":"2020","unstructured":"Du, W., Wang, Y., Wang, X., et al.: Magnifying effect of weak grid connection for a PMSG to induce torsional sub-synchronous oscillations under the condition of open-loop modal resonance. IET Renew. Power Gener. Gener. 14(4), 580\u2013590 (2020)","journal-title":"IET Renew. Power Gener. Gener."},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Babu P.N., Guerrero, P., Siano, P., et al.: An improved adaptive control strategy in grid-tied PV system with active power filter for power quality enhancement. IEEE Syst. J. 15(2), 2859\u20132870 (2021)","DOI":"10.1109\/JSYST.2020.2985164"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Multimedia Technology and Enhanced Learning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50571-3_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T13:04:11Z","timestamp":1716815051000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50571-3_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031505706","9783031505713"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50571-3_11","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICMTEL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Technology and Enhanced Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leicester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icmtel2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icmtel.eai-conferences.org\/2023\/","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":"Confy Plus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"285","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":"121","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":"0","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":"42% - 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":"3.1","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":"6.5","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)"}}]}}