Rottondi, Cristina and Derboni, Marco and Piga, Dario and Rizzoli, Andrea Emilio
(2019)
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An optimisation-based energy disaggregation algorithm for low frequency smart meter data.
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*Energy Informatics*, 2.1 (13).
pp. 1-11.

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10.1186-s42162-019-0089-8.pdf Download (707kB) |

## Abstract

An algorithm for the non-intrusive disaggregation of energy consumption into its end-uses, also known as non-intrusive appliance load monitoring (NIALM), is presented. The algorithm solves an optimisation problem where the objective is to minimise the error between the total energy consumption and the sum of the individual contributions of each appliance. The algorithm assumes that a fraction of the loads present in the household is known (e.g. washing machine, dishwasher, etc.), but it also considers unknown loads, treating them as a single load. The performance of the algorithm is then compared to that obtained by two state of the art disaggregation approaches implemented in the publicly available NILMTK framework. The first one is based on Combinatorial Optimization, the second one on a Factorial Hidden Markov Model. The results show that the proposed algorithm performs satisfactorily and it even outperforms the other algorithms from some perspectives.

Item Type: | Scientific journal article, Newspaper article or Magazine article |
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Subjects: | Mathematical sciences > Operational research Engineering > Electronic & electrical engineering > Electrical engineering Engineering > Electronic & electrical engineering > Electrical power > Electrical power distribution |

Department/unit: | Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull'intelligenza artificiale |

Depositing User: | Andrea Emilio Rizzoli |

Date Deposited: | 02 Oct 2019 12:51 |

Last Modified: | 02 Oct 2019 12:51 |

URI: | http://repository.supsi.ch/id/eprint/11067 |

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