{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T03:48:09Z","timestamp":1782359289334,"version":"3.54.5"},"reference-count":57,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009886","name":"Digital Enterprise","doi-asserted-by":"publisher","award":["NIL6S28"],"award-info":[{"award-number":["NIL6S28"]}],"id":[{"id":"10.13039\/501100009886","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Lutech S.p.A."},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Smart buildings require intelligent and scalable solutions to monitor environmental conditions and manage increasingly complex data streams generated by distributed sensing infrastructures. In this context, the paper presents an edge-enabled Digital Twin framework for smart office environments, integrating real-time data acquisition, distributed intelligence, and machine learning-based analytics. The framework adopts a multi-layer architecture composed of a sensor layer, a cloud-edge intelligence layer, and an interaction layer, aligned with Digital Twin reference models. By enabling low-latency processing at the edge and supporting continuous model lifecycle management through Machine Learning Operations (MLOps) practices, the proposed approach overcomes key limitations of traditional cloud-centric solutions. Autoencoder-based models are deployed across the cloud-edge continuum to perform real-time anomaly detection on time-series sensor data. A prototype has been implemented in a real smart office environment, where heterogeneous environmental data are continuously collected and processed. Experimental results demonstrate effective end-to-end data flow, stable long-term operation, and reliable anomaly detection with low-latency response. The system enables real-time monitoring and data-driven analysis of environmental conditions, improving situational awareness and supporting operational decision-making. These findings confirm the effectiveness of integrating Digital Twin technologies with edge AI and MLOps principles for scalable and efficient smart building monitoring systems.<\/jats:p>","DOI":"10.3390\/s26123807","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:00:48Z","timestamp":1781535648000},"page":"3807","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cloud-Edge MLOps for Diagnostic Analytics and Anomaly Detection in Smart Office Digital Twins"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8598-5504","authenticated-orcid":false,"given":"Saverio","family":"Ieva","sequence":"first","affiliation":[{"name":"Department of Electrical and Information Engineering, Polytechnic University of Bari, via E. Orabona 4, I-70125 Bari, Italy"},{"name":"donkeyPower S.r.l., via E. Orabona 4, I-70125 Bari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0182-4672","authenticated-orcid":false,"given":"Davide","family":"Loconte","sequence":"additional","affiliation":[{"name":"Department of Electrical and Information Engineering, Polytechnic University of Bari, via E. Orabona 4, I-70125 Bari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7995-8494","authenticated-orcid":false,"given":"Giuseppe","family":"Loseto","sequence":"additional","affiliation":[{"name":"donkeyPower S.r.l., via E. Orabona 4, I-70125 Bari, Italy"},{"name":"Department of Engineering, LUM \u201cGiuseppe Degennaro\u201d University, S.S. 100 km 18, I-70010 Casamassima, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8756-7045","authenticated-orcid":false,"given":"Federico","family":"Lopomo","sequence":"additional","affiliation":[{"name":"Lutech S.p.A., Via Orfeo Mazzitelli 258\/E, I-70124 Bari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5366-6809","authenticated-orcid":false,"given":"Marianna","family":"Notarnicola","sequence":"additional","affiliation":[{"name":"Lutech S.p.A., Via Orfeo Mazzitelli 258\/E, I-70124 Bari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3650-558X","authenticated-orcid":false,"given":"Andrea","family":"Sblendorio","sequence":"additional","affiliation":[{"name":"Department of Electrical and Information Engineering, Polytechnic University of Bari, via E. Orabona 4, I-70125 Bari, Italy"},{"name":"Lutech S.p.A., Via Orfeo Mazzitelli 258\/E, I-70124 Bari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7859-9602","authenticated-orcid":false,"given":"Floriano","family":"Scioscia","sequence":"additional","affiliation":[{"name":"Department of Electrical and Information Engineering, Polytechnic University of Bari, via E. Orabona 4, I-70125 Bari, Italy"},{"name":"donkeyPower S.r.l., via E. Orabona 4, I-70125 Bari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2125-327X","authenticated-orcid":false,"given":"Michele","family":"Ruta","sequence":"additional","affiliation":[{"name":"Department of Electrical and Information Engineering, Polytechnic University of Bari, via E. Orabona 4, I-70125 Bari, Italy"},{"name":"donkeyPower S.r.l., via E. 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