{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T09:04:38Z","timestamp":1765357478818},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.5220\/0012187400003543","type":"proceedings-article","created":{"date-parts":[[2023,11,21]],"date-time":"2023-11-21T15:50:43Z","timestamp":1700581843000},"page":"214-220","source":"Crossref","is-referenced-by-count":1,"title":["An Unsupervised Neural Network Approach for Solving the Optimal Power Flow Problem"],"prefix":"10.5220","author":[{"given":"Alexander","family":"Marcial","sequence":"first","affiliation":[{"name":"Department of Physics and Electrical Engineering, Linnaeus University, V\u00e4xj\u00f6, Sweden, --- Select a Country ---"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Magnus","family":"Perninge","sequence":"additional","affiliation":[{"name":"Department of Physics and Electrical Engineering, Linnaeus University, V\u00e4xj\u00f6, Sweden, --- Select a Country ---"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3171","event":{"name":"20th International Conference on Informatics in Control, Automation and Robotics","start":{"date-parts":[[2023,11,13]]},"location":"Rome, Italy","end":{"date-parts":[[2023,11,15]]}},"container-title":["Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics"],"original-title":["An Unsupervised Neural Network Approach for Solving the Optimal Power Flow Problem"],"deposited":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T14:32:24Z","timestamp":1701268344000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0012187400003543"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0012187400003543","relation":{},"subject":[],"published":{"date-parts":[[2023]]}}}