A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings
Crossref DOI link: https://doi.org/10.1007/s12273-020-0650-1
Published Online: 2020-05-13
Published Print: 2021-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Piscitelli, Marco Savino
Brandi, Silvio
Capozzoli, Alfonso
Xiao, Fu
Text and Data Mining valid from 2020-05-13
Version of Record valid from 2020-05-13
Article History
Received: 24 August 2019
Revised: 31 March 2020
Accepted: 15 April 2020
First Online: 13 May 2020