Thesis etd-06212014-230257 |
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Thesis type
Tesi di laurea magistrale
URN
etd-06212014-230257
Thesis title
Development of Algorithms for the Analysis and Classification of the Electrical Energy Consumption
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Supervisors
.
relatore Prof. Franco, Alessandro
relatore Prof. Landi, Alberto
controrelatore Dott. Crisostomi, Emanuele
relatore Prof. Landi, Alberto
controrelatore Dott. Crisostomi, Emanuele
Keywords
- analysis
- classification
- clustering
- forecasting
Graduation session start date
11/07/2014
Availability
Full
Abstract (Inglese)
Abstract (Italiano)
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 |
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| FinalPro...eport.pdf | 2.16 Mb |
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