Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks

Autor: Tom Dhaene, Chris Develder, Dirk Deschrijver, Leen De Baets

Publikováno v: International Journal of Electrical Power & Energy Systems. 104:645-653

Non-intrusive load monitoring methods aim to disaggregate the total power consumption of a household into individual appliances by analyzing changes in the voltage and current measured at the grid connection point of the household. The goal is to ide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3fae31351f5e8480393a46f17ce9a4e
https://doi.org/10.1016/j.ijepes.2018.07.026

On the Bayesian optimization and robustness of event detection methods in NILM

Autor: Chris Develder, Tom Dhaene, Leen De Baets, Dirk Deschrijver, Joeri Ruyssinck

Publikováno v: ENERGY AND BUILDINGS

A basic but crucial step to increase efficiency and save energy in residential settings is to have an accurate view of energy consumption. To monitor residential energy consumption cost-effectively, i.e., without relying on per-device monitoring equi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bff398f06a3420d7377ff3d5767d2fd1
https://doi.org/10.1016/j.enbuild.2017.03.061

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks

Autor: Femke Ongenae, Filip De Turck, Tom Van Steenkiste, Joeri Ruyssinck, Leen De Baets, Tom Dhaene, Johan Decruyenaere

Publikováno v: Artificial intelligence in medicine. 97

Introduction Blood cultures are often performed in the intensive care unit (ICU) to detect bloodstream infections and identify pathogen type, further guiding treatment. Early detection is essential, as a bloodstream infection can give cause to sepsis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4b930b7b2cd845f0d24a01bc256bfdf
https://pubmed.ncbi.nlm.nih.gov/30420241

Handling imbalance in an extended PLAID

Autor: Leen De Baets, Tom Dhaene, Mario Berges, Dirk Deschrijver, Jingkun Gao, Chris Develder

Publikováno v: 2017 FIFTH IFIP CONFERENCE ON SUSTAINABLE INTERNET AND ICT FOR SUSTAINABILITY (SUSTAINIT 2017)
SustainIT

The ability to classify appliances, given the current and voltage consumption of a household is useful for a variety of applications, including demand response verification, and eco-feedback technologies. To support research efforts in this problem d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b7fd19f2049a91cd5731b7b3934ad7d
https://biblio.ugent.be/publication/8541715

Unsupervised trajectory inference using graph mining

Autor: Leen De Baets, Yvan Saeys, Sofie Van Gassen, Tom Dhaene

Publikováno v: Computational Intelligence Methods for Bioinformatics and Biostatistics, Lecture Notes in Bioinformatics
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783319443317
CIBB

Cell differentiation is a complex dynamic process and although the main cellular states are well studied, the intermediate stages are often still unknown. Single cell data (such as obtained by flow cytometry) is typically analysed by clustering the c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da54c9a8552ff48d4ef10e35adcac94f
https://hdl.handle.net/1854/LU-8130712