{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T17:41:42Z","timestamp":1776966102453,"version":"3.51.4"},"reference-count":0,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T00:00:00Z","timestamp":1776902400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>This research introduces a novel methodology that combines Building Information Modelling (BIM) and Economic Multi-Criteria Decision-Making (EMCDM) with Neural Networks to optimize hybrid renewable energy systems in small communities. Its core aim is to improve sustainability, technical performance, and financial vokiability through integrated modelling and decision-making. The approach is applied to a hydropower site, evaluating five Scenarios (IDs 1\u20135) under a Community and Industry model. Financial benchmarks include a 10% Minimum Required Return and a 7-year payback period. ID3\u2014hydropower, solar, and wind\u2014proves most effective, with ANPV of \u20ac10,905 (wet) and \u20ac4501 (dry), and ROI of 155%\/64%. Its ROIA\/MRA Index peaks at 539%, and Payback\/N ratios remain within acceptable limits (55%\/96%). LCOE stays stable in average conditions (0.042\u20130.046 \u20ac\/kWh), rising in dry years (0.07\u20130.10 \u20ac\/kWh). Profitability differences primarily stem from demand and curtailment, rather than production costs. The NARX neural network reliably models SS% values from renewable inputs with low error across scenarios. The integrated BIM\u2013EMCDM framework ensures transparent, sustainable, and risk-balanced energy system decisions for long-term autonomy.<\/jats:p>","DOI":"10.3390\/a19050327","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T17:04:59Z","timestamp":1776963899000},"page":"327","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integration of Building Information Modelling and Economic Multi-Criteria Decision-Making with Neural Networks: Towards a Smart Renewable Energy Community"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9028-9711","authenticated-orcid":false,"given":"Helena M.","family":"Ramos","sequence":"first","affiliation":[{"name":"Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior T\u00e9cnico, Department of Civil Engineering, Architecture and Environment, University of Lisbon, 1049-001 Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3626-7634","authenticated-orcid":false,"given":"Ana Paula","family":"Falcao","sequence":"additional","affiliation":[{"name":"Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior T\u00e9cnico, Department of Civil Engineering, Architecture and Environment, University of Lisbon, 1049-001 Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Praful","family":"Borkar","sequence":"additional","affiliation":[{"name":"EIT Inno Energy Master\u2019s Student Dual Degree Program, Instituto Superior Tecnico and KTH Royal Institute of Technology, 1049-001 Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6574-0857","authenticated-orcid":false,"given":"Oscar E.","family":"Coronado-Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Instituto de Hidr\u00e1ulica y Saneamiento Ambiental, Universidad de Cartagena, Cartagena 130001, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1447-6897","authenticated-orcid":false,"given":"Francisco-Javier","family":"S\u00e1nchez-Romero","sequence":"additional","affiliation":[{"name":"Agrifood and Rural Engineering Department, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8316-7778","authenticated-orcid":false,"given":"Modesto","family":"P\u00e9rez-S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Hydraulic Engineering and Environmental Department, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,23]]},"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/19\/5\/327\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T17:07:50Z","timestamp":1776964070000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/19\/5\/327"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,23]]},"references-count":0,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2026,5]]}},"alternative-id":["a19050327"],"URL":"https:\/\/doi.org\/10.3390\/a19050327","relation":{},"ISSN":["1999-4893"],"issn-type":[{"value":"1999-4893","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,23]]}}}