{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:07:04Z","timestamp":1776442024812,"version":"3.51.2"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031775703","type":"print"},{"value":"9783031775710","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\/978-3-031-77571-0_73","type":"book-chapter","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T02:01:50Z","timestamp":1734660110000},"page":"773-778","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Optimization of\u00a0Energy Infrastructure Through High-Resolution Weather Forecasting"],"prefix":"10.1007","author":[{"given":"Alejandro","family":"Pujante P\u00e9rez","sequence":"first","affiliation":[]},{"given":"Carlos","family":"Mart\u00ednez-Abarca","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Antonio Cabo","family":"Vald\u00e9s","sequence":"additional","affiliation":[]},{"given":"Eduardo Illueca","family":"Fern\u00e1ndez","sequence":"additional","affiliation":[]},{"given":"Antonio J. Jara","family":"Valera","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,21]]},"reference":[{"issue":"5","key":"73_CR1","first-page":"99","volume":"2","author":"A Valavanidis","year":"2016","unstructured":"Valavanidis, A.: Global Electricity Generation from Renewable Sources. Journal 2(5), 99\u2013110 (2016)","journal-title":"Journal"},{"key":"73_CR2","volume":"38","author":"R Desislavov","year":"2023","unstructured":"Desislavov, R., Mart\u00ednez-Plumed, F., Hern\u00e1ndez-Orallo, J.: Trends in AI inference energy consumption: beyond the performance-vs-parameter laws of deep learning. Sustain. Comput.: Inform. Syst. 38, 100857 (2023)","journal-title":"Sustain. Comput.: Inform. Syst."},{"issue":"4","key":"73_CR3","first-page":"627","volume":"3","author":"FI Oluwajobi","year":"2012","unstructured":"Oluwajobi, F.I.: Effect of sag on transmission line. J. Emerg. Trends Eng. Appl. Sci. 3(4), 627\u2013630 (2012)","journal-title":"J. Emerg. Trends Eng. Appl. Sci."},{"key":"73_CR4","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.epsr.2019.03.023","volume":"173","author":"R M\u00ednguez","year":"2019","unstructured":"M\u00ednguez, R., Mart\u00ednez, R., Manana, M., Arroyo, A., Domingo, R., Laso, A.: Dynamic management in overhead lines: a successful case of reducing restrictions in renewable energy sources integration. Electric Power Syst. Res. 173, 135\u2013142 (2019)","journal-title":"Electric Power Syst. Res."},{"key":"73_CR5","unstructured":"IEEE: IEEE Standard for Calculating the Current-Temperature Relationship of Bare Overhead Conductors. IEEE Std 738-2012 (Revision of IEEE Std 738-2006 - Incorporates IEEE Std 738-2012 Cor 1-2013), vol., no., pp.1\u201372 (23 Dec. 2013)"},{"key":"73_CR6","unstructured":"Iglesias, J., et al.: Guide for Thermal Rating Calculations of Overhead Lines. CIGRE, Paris (2014)"},{"key":"73_CR7","unstructured":"Skamarock, W.C., et al.: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR\/TN-556+ STR, 145 (2019)"},{"key":"73_CR8","doi-asserted-by":"crossref","unstructured":"Molinar, G., Bassler, J., Popovic, N., Stork, W.: Ampacity forecasting from numerical weather predictions: a fusion of the traditional and machine learning methods. In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), pp. 514\u2013518. IEEE (2020 October)","DOI":"10.1109\/ISGT-Europe47291.2020.9248877"},{"key":"73_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107338","volume":"134","author":"R Minguez","year":"2022","unstructured":"Minguez, R., Martinez, R., Manana, M., Cuasante, D., Gara\u00f1eda, R.: Application of digital elevation models to wind estimation for dynamic line rating. Int. J. Electr. Power Energy Syst. 134, 107338 (2022)","journal-title":"Int. J. Electr. Power Energy Syst."}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77571-0_73","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T02:13:29Z","timestamp":1734660809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77571-0_73"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031775703","9783031775710"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77571-0_73","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"UCAmI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Ubiquitous Computing and Ambient Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belfast","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2024","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":"ucami2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ucami.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}