Bayesian adaptive selection of basis functions for functional data representation

PHTO Sousa, CPE de Souza, R Dias - Journal of applied statistics, 2024 - Taylor & Francis
Considering the context of functional data analysis, we developed and applied a new
Bayesian approach via the Gibbs sampler to select basis functions for a finite representation …

Clustering functional data via variational inference

C Xian, CPE de Souza, J Jewell, R Dias - Advances in Data Analysis and …, 2024 - Springer
Among different functional data analyses, clustering analysis aims to determine underlying
groups of curves in the dataset when there is no information on the group membership of …

[HTML][HTML] Machine reading at scale: A search engine for scientific and academic research

N Sousa, N Oliveira, I Praça - Systems, 2022 - mdpi.com
The Internet, much like our universe, is ever-expanding. Information, in the most varied
formats, is continuously added to the point of information overload. Consequently, the ability …

Aggregated functional data model applied on clustering and disaggregation of UK electrical load profiles

G Franco, C PE de Souza… - Journal of the Royal …, 2023 - academic.oup.com
Understanding electrical energy demand at the consumer level plays an important role in
planning the distribution of electrical networks and offering of off-peak tariffs, but observing …

Functional Data Analysis of high-frequency load curves reveals drivers of residential electricity consumption

M Fontana, M Tavoni, S Vantini - Plos one, 2019 - journals.plos.org
Smart energy meters generate real time, high frequency data which can foster demand
management and response of consumers and firms, with potential private and social …