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 …
Bayesian approach via the Gibbs sampler to select basis functions for a finite representation …
Clustering functional data via variational inference
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 …
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 …
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 …
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
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 …
management and response of consumers and firms, with potential private and social …