This work deals with the problem of energy efficiency and saving: we present a method to automatically extract behavioral rules from consumption data, so that these rules can be applied or fed to an automatic control system. To extract behavioral rules we shall be able to both (i) define power plants similarity techniques and (ii) analyze and gather rules from data, making the correct assumptions.

Machine learning for energy efficiency - Automatic detection of electric loads from power consumption

TOMAZZOLI, Claudio;
2017-01-01

Abstract

This work deals with the problem of energy efficiency and saving: we present a method to automatically extract behavioral rules from consumption data, so that these rules can be applied or fed to an automatic control system. To extract behavioral rules we shall be able to both (i) define power plants similarity techniques and (ii) analyze and gather rules from data, making the correct assumptions.
2017
machine learning, energy saving
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/968640
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
social impact