{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T12:04:29Z","timestamp":1776168269436,"version":"3.50.1"},"reference-count":60,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T00:00:00Z","timestamp":1559260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100012000","name":"Fundaci\u00f3n Cajacanarias","doi-asserted-by":"publisher","award":["2016TUR17"],"award-info":[{"award-number":["2016TUR17"]}],"id":[{"id":"10.13039\/100012000","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The hotel industry is an important energy consumer that needs efficient energy management methods to guarantee its performance and sustainability. The new role of hotels as prosumers increases the difficulty in the design of these methods. Also, the scenery is more complex as renewable energy systems are present in the hotel energy mix. The performance of energy management systems greatly depends on the use of reliable predictions for energy load. This paper presents a new methodology to predict energy load in a hotel based on intelligent techniques. The model proposed is based on a hybrid intelligent topology implemented with a combination of clustering techniques and intelligent regression methods (Artificial Neural Network and Support Vector Regression). The model includes its own energy demand information, occupancy rate, and temperature as inputs. The validation was done using real hotel data and compared with time-series models. Forecasts obtained were satisfactory, showing a promising potential for its use in energy management systems in hotel resorts.<\/jats:p>","DOI":"10.3390\/s19112485","type":"journal-article","created":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T11:59:56Z","timestamp":1559303996000},"page":"2485","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9740-6477","authenticated-orcid":false,"given":"Jos\u00e9-Luis","family":"Casteleiro-Roca","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, University of A Coru\u00f1a, A Coru\u00f1a 15280, Spain"},{"name":"Department of Computer Science and System Engineering, Universidad de La Laguna, La Laguna 38200, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7737-2249","authenticated-orcid":false,"given":"Jos\u00e9","family":"G\u00f3mez-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Universidad de La Laguna, La Laguna 38200, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2333-8405","authenticated-orcid":false,"given":"Jos\u00e9","family":"Calvo-Rolle","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of A Coru\u00f1a, A Coru\u00f1a 15280, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0625-359X","authenticated-orcid":false,"given":"Esteban","family":"Jove","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of A Coru\u00f1a, A Coru\u00f1a 15280, Spain"},{"name":"Department of Computer Science and System Engineering, Universidad de La Laguna, La Laguna 38200, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0268-7999","authenticated-orcid":false,"given":"H\u00e9ctor","family":"Quinti\u00e1n","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, University of A Coru\u00f1a, A Coru\u00f1a 15280, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1975-2520","authenticated-orcid":false,"given":"Benjamin","family":"Gonzalez Diaz","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Universidad de La Laguna, La Laguna 38200, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2004-5989","authenticated-orcid":false,"given":"Juan","family":"Mendez Perez","sequence":"additional","affiliation":[{"name":"Department of Computer Science and System Engineering, Universidad de La Laguna, La Laguna 38200, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.enbuild.2015.02.017","article-title":"Identifying energy consumption patterns in the Attica hotel sector using cluster analysis techniques with the aim of reducing hotels\u2019 CO2 footprint","volume":"94","author":"Pieri","year":"2015","journal-title":"Energy Build."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1016\/j.renene.2008.08.012","article-title":"Feasibility analysis of renewable energy supply options for a grid-connected large hotel","volume":"34","author":"Dalton","year":"2009","journal-title":"Renew. 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