Mining operational data for anomaly detection in buildings - WebThesis

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Mining operational data for anomaly detection in buildings

Daniele Mauro Mazzarelli

Mining operational data for anomaly detection in buildings.

Rel. Alfonso Capozzoli, Marco Savino Piscitelli, Silvio Brandi. Politecnico di Torino, Master of science program in Energy And Nuclear Engineering, 2018

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Abstract

Mining operational data for anomaly detection in buildings

Relators

Alfonso Capozzoli, Marco Savino Piscitelli, Silvio Brandi

Academic year

2017/18

Publication type

Electronic

Number of Pages

161

Course of studies

Master of science program in Energy And Nuclear Engineering

Classe di laurea

New organization > Master science > LM-30 - ENERGY AND NUCLEAR ENGINEERING

URI

https://webthesis.biblio.polito.it/id/eprint/7355

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