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Research on non-intrusive load disaggregation

Chuanjiao Wang

Research on non-intrusive load disaggregation.

Rel. Edoardo Patti, Marco Castangia. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022


Non-intrusive load decomposition of residential electricity consumption is a technology that decomposes the total load information of users into the energy consumption information of each electrical equipment. The obtained energy consumption information can be used to analyze users’ electricity consumption behavior, and guide users to manage energy consumption reasonably, thus saving electricity bills and reducing unnecessary power consumption. At the same time, according to the energy consumption information of electrical equipment, we can further carry out refined distribution work, effectively enhance the inter- active response ability between power grid and users. In this thesis, We propose a new model inspired by YOLO architecture. Its goal is to detect the activation of the appliance in a forward pass. The advantage of this model is that we can predict the electrical appliance through the total table without the data of sub table. The model was applied to public household energy data, and its result can be compared with the most advanced performance at present.

Relators: Edoardo Patti, Marco Castangia
Academic year: 2021/22
Publication type: Electronic
Number of Pages: 89
Additional Information: Tesi secretata. Fulltext non presente
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: New organization > Master science > LM-25 - AUTOMATION ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/23546
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