{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T14:33:25Z","timestamp":1787063605556,"version":"3.56.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031489808","type":"print"},{"value":"9783031489815","type":"electronic"}],"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\/978-3-031-48981-5_14","type":"book-chapter","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T06:02:35Z","timestamp":1704780155000},"page":"172-184","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards Data Integration for Hybrid Energy System Decision-Making Processes: Challenges and Architecture"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8557-2267","authenticated-orcid":false,"given":"Olha","family":"Boiko","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8325-3115","authenticated-orcid":false,"given":"Vira","family":"Shendryk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2763-8085","authenticated-orcid":false,"given":"Reza","family":"Malekian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0328-3934","authenticated-orcid":false,"given":"Anton","family":"Komin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0998-6585","authenticated-orcid":false,"given":"Paul","family":"Davidsson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,1,10]]},"reference":[{"key":"14_CR1","unstructured":"The 17 Sustainable Development Goals of the United Nations. https:\/\/sdgs.un.org\/goals"},{"key":"14_CR2","unstructured":"European Commission. Renewable Energy Progress Report. https:\/\/eur-lex.europa.eu\/legal-content\/EN\/TXT\/PDF\/?uri=CELEX:52019DC0225&from=EN"},{"key":"14_CR3","unstructured":"Eurostat. Renewable energy statistics. https:\/\/ec.europa.eu\/eurostat\/statistics-explained\/index.php?title=Renewable_energy_statistics"},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"104056","DOI":"10.1016\/j.est.2022.104056","volume":"49","author":"MA Judge","year":"2022","unstructured":"Judge, M.A., Khan, A., Manzoor, A., Khattak, H.A.: Overview of smart system implementation: frameworks, impact, performance and challenges. J. Energy Storage 49, 104056 (2022). https:\/\/doi.org\/10.1016\/j.est.2022.104056","journal-title":"J. Energy Storage"},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1016\/j.ijepes.2018.11.034","volume":"107","author":"A Vaccaro","year":"2019","unstructured":"Vaccaro, A., Pisica, I., Lai, L.L., Zobaa, A.F.: A review of enabling methodologies for information processing in smart systems. Int. J. Electr. Power Energy Syst. 107, 516\u2013522 (2019). https:\/\/doi.org\/10.1016\/j.ijepes.2018.11.034","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"14_CR6","doi-asserted-by":"publisher","first-page":"109899","DOI":"10.1016\/j.rser.2020.109899","volume":"130","author":"I Antonopoulos","year":"2020","unstructured":"Antonopoulos, I., et al.: Artificial intelligence and machine learning approaches to energy demand-side response: a systematic review. Renew. Sustain. Energy Rev. 130, 109899 (2020). https:\/\/doi.org\/10.1016\/j.rser.2020.109899","journal-title":"Renew. Sustain. Energy Rev."},{"key":"14_CR7","unstructured":"IEC SRD 63200:2021. SGAM smart energy system reference architecture model (2021). https:\/\/syc-se.iec.ch\/deliveries\/sgam-basics\/"},{"key":"14_CR8","series-title":"LNNS","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-031-34721-4_1","volume-title":"NT 2023","author":"V Shendryk","year":"2023","unstructured":"Shendryk, V., Malekian, R., Davidsson, P.: Interoperability, scalability, and availability of energy types in hybrid heating systems. In: Karabegovic, I., Kova\u010devi\u0107, A., Mandzuka, S. (eds.) NT 2023. LNNS, vol. 707, pp. 3\u201313. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-34721-4_1"},{"key":"14_CR9","doi-asserted-by":"publisher","first-page":"123553","DOI":"10.1016\/j.energy.2022.123553","volume":"247","author":"Z Liu","year":"2022","unstructured":"Liu, Z., et al.: Co-optimization of a novel distributed energy system integrated with hybrid energy storage in different nearly zero energy community scenarios. Energy 247, 123553 (2022). https:\/\/doi.org\/10.1016\/j.energy.2022.123553","journal-title":"Energy"},{"key":"14_CR10","doi-asserted-by":"publisher","first-page":"102391","DOI":"10.1016\/j.scs.2020.102391","volume":"62","author":"AMA Haidar","year":"2020","unstructured":"Haidar, A.M.A., Fakhar, A., Helwig, A.: Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm. Sustain. Cities Soc. 62, 102391 (2020). https:\/\/doi.org\/10.1016\/j.scs.2020.102391","journal-title":"Sustain. Cities Soc."},{"issue":"20","key":"14_CR11","doi-asserted-by":"publisher","first-page":"4285","DOI":"10.1049\/iet-gtd.2020.0453","volume":"14","author":"R Khezri","year":"2020","unstructured":"Khezri, R., Mahmoudi, A.: Review on the state-of-the-art multi-objective optimisation of hybrid standalone\/grid-connected energy systems. TIET Gener. Transm. Distrib. 14(20), 4285\u20134300 (2020). https:\/\/doi.org\/10.1049\/iet-gtd.2020.0453","journal-title":"TIET Gener. Transm. Distrib."},{"key":"14_CR12","doi-asserted-by":"publisher","first-page":"110992","DOI":"10.1016\/j.rser.2021.110992","volume":"144","author":"S Aslam","year":"2021","unstructured":"Aslam, S., Herodotou, H., Mohsin, S.M., Javaid, N., Ashraf, N., Aslam, S.: A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids. Renew. Sustain. Energy Rev. 144, 110992 (2021). https:\/\/doi.org\/10.1016\/j.rser.2021.110992","journal-title":"Renew. Sustain. Energy Rev."},{"key":"14_CR13","doi-asserted-by":"publisher","unstructured":"Sweeney, C., Bessa, R.J., Browell, J., Pinson, P.: The future of forecasting for renewable energy. WIREs Energy Environ. 9(2) (2019). https:\/\/doi.org\/10.1002\/wene.365","DOI":"10.1002\/wene.365"},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/j.rser.2019.03.040","volume":"108","author":"M Sharifzadeh","year":"2019","unstructured":"Sharifzadeh, M., Sikinioti-Lock, A., Shah, N.: Machine-learning methods for integrated renewable power generation: a comparative study of artificial neural networks, support vector regression, and Gaussian process regression. Renew. Sustain. Energy Rev. 108, 513\u2013538 (2019). https:\/\/doi.org\/10.1016\/j.rser.2019.03.040","journal-title":"Renew. Sustain. Energy Rev."},{"key":"14_CR15","doi-asserted-by":"publisher","first-page":"102052","DOI":"10.1016\/j.scs.2020.102052","volume":"55","author":"T Ahmad","year":"2020","unstructured":"Ahmad, T., Zhang, H., Yan, B.: A review on renewable energy and electricity requirement forecasting models for smart grid and buildings. Sustain. Cities Soc. 55, 102052 (2020). https:\/\/doi.org\/10.1016\/j.scs.2020.102052","journal-title":"Sustain. Cities Soc."},{"key":"14_CR16","doi-asserted-by":"publisher","first-page":"101484","DOI":"10.1016\/j.scs.2019.101484","volume":"47","author":"S Seyedzadeh","year":"2019","unstructured":"Seyedzadeh, S., Pour Rahimian, F., Rastogi, P., Glesk, I.: Tuning machine learning models for prediction of building energy load. Sustain. Cities Soc. 47, 101484 (2019). https:\/\/doi.org\/10.1016\/j.scs.2019.101484","journal-title":"Sustain. Cities Soc."},{"key":"14_CR17","doi-asserted-by":"publisher","first-page":"110022","DOI":"10.1016\/j.enbuild.2020.110022","volume":"221","author":"Y Sun","year":"2020","unstructured":"Sun, Y., Haghighat, F., Fung, B.C.M.: A review of the-state-of-the-art in data-driven approaches for building energy prediction. Energy Build. 221, 110022 (2020). https:\/\/doi.org\/10.1016\/j.enbuild.2020.110022","journal-title":"Energy Build."},{"key":"14_CR18","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1016\/j.enbuild.2018.11.050","volume":"183","author":"M Ashouri","year":"2019","unstructured":"Ashouri, M., Haghighat, F., Fung, B.C.M., Yoshino, H.: Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior. Energy Build. 183, 659\u2013671 (2019). https:\/\/doi.org\/10.1016\/j.enbuild.2018.11.050","journal-title":"Energy Build."},{"key":"14_CR19","doi-asserted-by":"publisher","first-page":"3365","DOI":"10.1016\/j.egyr.2020.11.249","volume":"6","author":"G Lei","year":"2020","unstructured":"Lei, G., Song, H., Rodriguez, D.: Power generation cost minimization of the grid-connected hybrid renewable energy system through optimal sizing using the modified seagull optimization technique. Energy Rep. 6, 3365\u20133376 (2020). https:\/\/doi.org\/10.1016\/j.egyr.2020.11.249","journal-title":"Energy Rep."},{"key":"14_CR20","doi-asserted-by":"publisher","first-page":"125357","DOI":"10.1016\/j.jclepro.2020.125357","volume":"281","author":"J Wang","year":"2021","unstructured":"Wang, J., Qi, X., Ren, F., Zhang, G., Wang, J.: Optimal design of hybrid combined cooling, heating and power systems considering the uncertainties of load demands and renewable energy sources. J. Cleaner Prod. 281, 125357 (2021). https:\/\/doi.org\/10.1016\/j.jclepro.2020.125357","journal-title":"J. Cleaner Prod."},{"key":"14_CR21","doi-asserted-by":"publisher","unstructured":"Liu, Z., Cui, Y., Wang, J., Yue, C., Agbodjan, Y.S., Yang, Y.: Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties. Energy 124399 (2022). https:\/\/doi.org\/10.1016\/j.energy.2022.124399","DOI":"10.1016\/j.energy.2022.124399"},{"issue":"10","key":"14_CR22","doi-asserted-by":"publisher","first-page":"3557","DOI":"10.1109\/TIE.2009.2039455","volume":"57","author":"V Gungor","year":"2010","unstructured":"Gungor, V., Lu, B., Hancke, G.: Opportunities and challenges of wireless sensor networks in smart system. IEEE Trans. Industr. Electron. 57(10), 3557\u20133564 (2010). https:\/\/doi.org\/10.1109\/TIE.2009.2039455","journal-title":"IEEE Trans. Industr. Electron."},{"key":"14_CR23","doi-asserted-by":"publisher","unstructured":"Kaainoa, C.E., Jenkins, S.E.: Foundational challenges and opportunities with turning data into information for system modernization. In International Energy and Sustainability Conference (IESC), Farmingdale, NY, USA, pp. 1\u201319 (2019). https:\/\/doi.org\/10.1109\/IESC47067.2019.8976771","DOI":"10.1109\/IESC47067.2019.8976771"},{"key":"14_CR24","doi-asserted-by":"publisher","first-page":"112446","DOI":"10.1016\/j.rser.2022.112446","volume":"162","author":"C Ibrahim","year":"2022","unstructured":"Ibrahim, C., Mougharbel, I., Kanaan, H.Y., Daher, N.A., Georges, S., Saad, M.: A review on the deployment of demand response programs with multiple aspects coexistence over smart system platform. Renew. Sustain. Energy Rev. 162, 112446 (2022). https:\/\/doi.org\/10.1016\/j.rser.2022.112446","journal-title":"Renew. Sustain. Energy Rev."},{"key":"14_CR25","doi-asserted-by":"publisher","first-page":"100410","DOI":"10.1016\/j.ijcip.2021.100410","volume":"34","author":"NK Singh","year":"2021","unstructured":"Singh, N.K., Mahajan, V.: End-user privacy protection scheme from cyber intrusion in smart system advanced metering infrastructure. Int. J. Crit. Infrastruct. Prot. 34, 100410 (2021). https:\/\/doi.org\/10.1016\/j.ijcip.2021.100410","journal-title":"Int. J. Crit. Infrastruct. Prot."},{"key":"14_CR26","unstructured":"European Commission. Energy security. https:\/\/energy.ec.europa.eu\/topics\/energy-security_en"},{"key":"14_CR27","unstructured":"The General Data Protection Regulation (GDPR). https:\/\/gdpr.eu\/what-is-gdpr\/"}],"container-title":["Communications in Computer and Information Science","Information and Software Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-48981-5_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T06:05:46Z","timestamp":1704780346000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-48981-5_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031489808","9783031489815"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-48981-5_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"10 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Software Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaunas","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","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":"12 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icist2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icist.ktu.edu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"75","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":"27","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":"36% - 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":"2","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)"}}]}}