Tesi etd-06212014-230257 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
SEMERARO, LUCA
URN
etd-06212014-230257
Titolo
Development of Algorithms for the Analysis and Classification of the Electrical Energy Consumption
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Relatori
relatore Prof. Franco, Alessandro
relatore Prof. Landi, Alberto
controrelatore Dott. Crisostomi, Emanuele
relatore Prof. Landi, Alberto
controrelatore Dott. Crisostomi, Emanuele
Parole chiave
- forecasting
- clustering
- classification
- analysis
Data inizio appello
11/07/2014
Consultabilità
Completa
Riassunto
In this work we use clustering algorithms to compute the typical Italian load pro file
in different days of the week in different seasons. This result can be exploited by energy
providers to tailor more attractive time-varying tariffs for their customers. In addition, we
propose a day ahead load trend forecasting method based on clustering output.
in different days of the week in different seasons. This result can be exploited by energy
providers to tailor more attractive time-varying tariffs for their customers. In addition, we
propose a day ahead load trend forecasting method based on clustering output.
File
| Nome file | Dimensione |
|---|---|
| FinalPro...eport.pdf | 2.16 Mb |
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