{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:20:11Z","timestamp":1742937611212,"version":"3.40.3"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031486487"},{"type":"electronic","value":"9783031486494"}],"license":[{"start":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:00:00Z","timestamp":1701475200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:00:00Z","timestamp":1701475200000},"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\/978-3-031-48649-4_14","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T06:03:13Z","timestamp":1701410593000},"page":"234-252","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Modifiable Architectural Design for Commercial Greenhouses Energy Economic Dispatch Testbed"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3118-7253","authenticated-orcid":false,"given":"Christian Skafte Beck","family":"Clausen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5678-6602","authenticated-orcid":false,"given":"Bo N\u00f8rregaard","family":"J\u00f8rgensen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9134-1032","authenticated-orcid":false,"given":"Zheng","family":"Ma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,2]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Ma, Z., J\u00f8rgensen, B.N.: Energy flexibility of the commercial greenhouse growers: the potential and benefits of participating in the electricity market. In: 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) (2018)","DOI":"10.1109\/ISGT.2018.8403368"},{"key":"14_CR2","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/978-3-030-58356-9_34","volume-title":"Ambient Intelligence \u2013 Software and Applications: 11th International Symposium on Ambient Intelligence","author":"DA Howard","year":"2021","unstructured":"Howard, D.A., Ma, Z., J\u00f8rgensen, B.N.: Digital twin framework for energy efficient greenhouse industry 4.0. In: Novais, P., Vercelli, G., Larriba-Pey, J.L., Herrera, F., Chamoso, P. (eds.) Ambient Intelligence \u2013 Software and Applications: 11th International Symposium on Ambient Intelligence, pp. 293\u2013297. Springer International Publishing, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-58356-9_34"},{"key":"14_CR3","unstructured":"Howard, D., et al.: Optimization of energy flexibility in cooling process for brewery fermentation with multi-agent simulation. In: 6th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization. Shibaura Institute of Technology, Tokyo, Japan (2020)"},{"key":"14_CR4","unstructured":"Christensen, K., et al.: Agent-based modeling for optimizing CO2 reduction in commercial greenhouse production with the implicit demand response. In: 6th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON2020). IEEJ Digital Library: Tokyo, Japan, p. 6 (2020)"},{"issue":"4","key":"14_CR5","doi-asserted-by":"publisher","first-page":"1248","DOI":"10.1109\/59.99376","volume":"5","author":"BH Chowdhury","year":"1990","unstructured":"Chowdhury, B.H., Rahman, S.: A review of recent advances in economic dispatch. IEEE Trans. Power Syst. 5(4), 1248\u20131259 (1990)","journal-title":"IEEE Trans. Power Syst."},{"issue":"4","key":"14_CR6","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1109\/TPWRS.2003.818693","volume":"18","author":"MAMI Abido","year":"2003","unstructured":"Abido, M.A.M.I.: Environmental\/Economic power dispatch using multiobjective evolutionary algorithms. IEEE Trans. Power Syst. 18(4), 1529\u20131537 (2003)","journal-title":"IEEE Trans. Power Syst."},{"issue":"8","key":"14_CR7","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1016\/j.epsr.2009.12.012","volume":"80","author":"X Xia","year":"2010","unstructured":"Xia, X., Elaiw, A.M.: Optimal dynamic economic dispatch of generation: a review. Electric Power Syst. Res. 80(8), 975\u2013986 (2010)","journal-title":"Electric Power Syst. Res."},{"issue":"217","key":"14_CR8","first-page":"109089","volume":"2023","author":"AB Kunya","year":"2022","unstructured":"Kunya, A.B., Abubakar, A.S., Yusuf, S.S.: Review of economic dispatch in multi-area power system: state-of-the-art and future prospective. Electric Power Syst. Res. 2023(217), 109089 (2022)","journal-title":"Electric Power Syst. Res."},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Kjaergaard, M.B., et al.: Demand response in commercial buildings with an assessable impact on occupant comfort. In: 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, 447\u2013452 (2016)","DOI":"10.1109\/SmartGridComm.2016.7778802"},{"key":"14_CR10","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1016\/j.compag.2019.05.040","volume":"162","author":"PJM Van Beveren","year":"2019","unstructured":"Van Beveren, P.J.M., et al.: Optimal utilization of a boiler, combined heat and power installation, and heat buffers in horticultural greenhouses. Comput. Electron. Agric. 162, 1035\u20131048 (2019)","journal-title":"Comput. Electron. Agric."},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"S\u00f8rensen, J.C., J\u00f8rgensen, B.N.: An extensible component-based multi-objective evolutionary algorithm framework, pp. 191\u2013197 (2017)","DOI":"10.1145\/3056662.3056690"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Hanafi, I.F., Dalimi, I.R.: Economic load dispatch optimation of thermal power plant based on merit order and bat algorithm. In: 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019(2), p. 4\u20138 (2019)","DOI":"10.1109\/ICIRD47319.2019.9074734"},{"issue":"3","key":"14_CR13","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/S0378-7796(98)00165-5","volume":"51","author":"W Ongsakul","year":"1999","unstructured":"Ongsakul, W.: Real-time economic dispatch using merit order loading for linear decreasing and staircase incremental cost functions. Electric Power Syst. Res. 51(3), 167\u2013173 (1999)","journal-title":"Electric Power Syst. Res."},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.energy.2013.04.066","volume":"56","author":"B Shi","year":"2013","unstructured":"Shi, B., Yan, L.X., Wu, W.: Multi-objective optimization for combined heat and power economic dispatch with power transmission loss and emission reduction. Energy 56, 135\u2013143 (2013)","journal-title":"Energy"},{"key":"14_CR15","first-page":"2213","volume":"3","author":"D Montana","year":"1998","unstructured":"Montana, D., et al.: Genetic algorithms for complex, real-time scheduling. Proc. IEEE Int. Conf. Syst. Man Cybern. 3, 2213\u20132218 (1998)","journal-title":"Proc. IEEE Int. Conf. Syst. Man Cybern."},{"issue":"2","key":"14_CR16","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1049\/iet-gtd:20060130","volume":"1","author":"CL Chiang","year":"2007","unstructured":"Chiang, C.L.: Genetic-based algorithm for power economic load dispatch. IET Gener. Transm. Distrib. 1(2), 261\u2013269 (2007)","journal-title":"IET Gener. Transm. Distrib."},{"key":"14_CR17","first-page":"107","volume-title":"Metaheuristic and Evolutionary Computation: Algorithms and Applications","author":"VS Bisht","year":"2021","unstructured":"Bisht, V.S., et al.: A review on genetic algorithm and its application in power system engineering. In: Malik, H., et al. (eds.) Metaheuristic and Evolutionary Computation: Algorithms and Applications, pp. 107\u2013130. Springer Singapore, Singapore (2021)"},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"Qu, Q., et al.: A comprehensive review of machine learning in multi-objective optimization. In: 2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI) (2021)","DOI":"10.1109\/BDAI52447.2021.9515233"},{"issue":"8","key":"14_CR19","doi-asserted-by":"publisher","first-page":"2134","DOI":"10.1016\/j.rser.2009.03.007","volume":"13","author":"A Mahor","year":"2009","unstructured":"Mahor, A., Prasad, V., Rangnekar, S.: Economic dispatch using particle swarm optimization: a review. Renew. Sustain. Energy Rev. 13(8), 2134\u20132141 (2009)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Christensen, K., et al.: Agent-based modeling of climate and electricity market impact on commercial greenhouse growers\u2019 demand response adoption. In: 2020 RIVF International Conference on Computing and Communication Technologies (RIVF) (2020). Ho Chi Minh City, Vietnam: IEEE (2020)","DOI":"10.1109\/RIVF48685.2020.9140789"},{"issue":"4","key":"14_CR21","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1007\/s10845-020-01685-9","volume":"32","author":"E Negri","year":"2021","unstructured":"Negri, E., et al.: Field-synchronized digital twin framework for production scheduling with uncertainty. J. Intell. Manuf. 32(4), 1207\u20131228 (2021)","journal-title":"J. Intell. Manuf."},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Demers, S., Gopalakrishnan, P., Kant, L.: A generic solution to software-in-the-loop. Proceedings - IEEE Military Communications Conference MILCOM (2007)","DOI":"10.1109\/MILCOM.2007.4455268"},{"key":"14_CR23","unstructured":"Osadcuks, V., Galins, A.: Software in the loop simulation of autonomous hybrid power system of an agricultural facility. Latvia University Agriculture, Faculty Engineering, institute for Mechanics (2012)"},{"key":"14_CR24","doi-asserted-by":"crossref","unstructured":"Bachmann, F., Bass, L., Nord, R.: Modifiability Tactics. Software Engineering Institute - Technical Report (2007) (CMU\/SEI-2007-TR-002)","DOI":"10.21236\/ADA472581"},{"issue":"957","key":"14_CR25","first-page":"29","volume":"2012","author":"M Rytter","year":"2014","unstructured":"Rytter, M., et al.: Advanced model-based greenhouse climate control using multi-objective optimization. Acta Hort. 2012(957), 29\u201335 (2014)","journal-title":"Acta Hort."},{"key":"14_CR26","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/978-3-319-44339-3_9","volume-title":"Software Architecture in Action","author":"F Oquendo","year":"2016","unstructured":"Oquendo, F., Leite, J., Batista, T.: Designing modifiability in software architectures. In: Oquendo, F., Leite, J., Batista, T. (eds.) Software Architecture in Action, pp. 127\u2013141. Springer International Publishing, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-44339-3_9"},{"key":"14_CR27","unstructured":"Bass, L., et al.: Software Architecture in Practice, 4th Edition (2021). Addison-Wesley Professional"},{"issue":"2","key":"14_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s42162-021-00161-9","volume":"4","author":"DA Howard","year":"2021","unstructured":"Howard, D.A., Ma, Z., Veje, C., Clausen, A., Aaslyng, J.M., J\u00f8rgensen, B.N.: Greenhouse industry 4.0 \u2013 digital twin technology for commercial greenhouses. Energy Inf. 4(2), 1\u201313 (2021). https:\/\/doi.org\/10.1186\/s42162-021-00161-9","journal-title":"Energy Inf."},{"key":"14_CR29","unstructured":"Qu, Y.: A digital twin framework for commercial greenhouse climate control system (2023), University of Southern Denmark (The Maersk Mc Kinney Moller Institute)"},{"key":"14_CR30","unstructured":"Clausen, C.S.B., S\u00f8rensen, J.V.: Architectural refinement of a multi-objective multi-issue optimization framework (2021). University of Southern Denmark (The Maersk Mc Kinney Moller Institute)"},{"key":"14_CR31","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1186\/s42162-021-00161-9","volume":"4","author":"Z Ma","year":"2021","unstructured":"Ma, Z., Christensen, K., Jorgensen, B.N.: Business ecosystem architecture development: a case study of Electric Vehicle home charging. Energy Inf. 4, 37 (2021)","journal-title":"Energy Inf."},{"key":"14_CR32","unstructured":"\u00c5str\u00f6m, K.J., Wittenmark, B.: Computer-Controlled Systems: Theory and Design, Third Edition. Dover Books on Electrical Engineering (2011). Dover Publications"},{"key":"14_CR33","unstructured":"Shaw, M.: A software design paradigm based on process control (1994)"},{"key":"14_CR34","first-page":"1","volume":"13","author":"C Anders","year":"2020","unstructured":"Anders, C., et al.: Impact of social welfare metrics on energy allocation in multi-objective optimization. Energies 13, 1\u201319 (2020)","journal-title":"Energies"}],"container-title":["Lecture Notes in Computer Science","Energy Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-48649-4_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T06:06:30Z","timestamp":1701410790000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-48649-4_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,2]]},"ISBN":["9783031486487","9783031486494"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-48649-4_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,12,2]]},"assertion":[{"value":"2 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EI.A","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Energy Informatics Academy Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Campinas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","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":"6 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eia2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.energyinformatics.academy\/eia-2023-conference","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":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","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":"32","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":"7","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":"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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3 other papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}