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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, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 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
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Energetica E Nucleare
Classe di laurea: New organization > Master science > LM-30 - ENERGY AND NUCLEAR ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/7355
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