This research project has been partially funded through BR-UdGScholarship of the University of Girona granted to Joaquim MassanaRaurich. Work developed with the support of the research groupSITES awarded with distinction by the Generalitat de Catalunya(SGR 2014–2016), the MESC project funded by the Spanish MINECO (Ref. DPI2013-47450-C2-1-R) and the European Union’s Horizon2020 Research and Innovation Programme under grant agreementNo 680708

Dades associades a l'article publicat: Massana i Raurich, Joaquim ; Pous i Sabadí, Carles ; Burgas Nadal, Llorenç ; Meléndez i Frigola, Joaquim ; Colomer Llinàs, Joan. (2017). Identifying services for short-term load forecasting using data driven models in a Smart City platform. Sustainable Cities and Society, vol. 28, p.108-117. Disponible a https://doi.org/10.1016/j.scs.2016.09.001

Dades relacionades amb els consums elèctrics de 7 edificis no-residencials de la Universitat de Girona. Les dades corresponen als consums elèctrics del edificis PI, PII, PIII, PIV de l'Escola Politècnica Superior i de les facultats de Ciències, de Dret, i d'Econòmiques des de setembre de 2011 fins octubre de 2014

Data related to the electrical consumption of 7 non-residential buildings of the University of Girona. Data correspond to the electrical consumption of the buildings PI, PII, PII, PIV of the Escola Politècnica Superior and the faculties of Sciences, Law, and Economics from September 2011 to October 2014

Software: 1 Fitxer Zip; 7 Fitxers xlsx