Functional covariates: statistical modeling and software development for energy consumption data

• Grant number: 19/00787-7
• Support Opportunities: Regular Research Grants
• Start date: June 01, 2019
• End date: May 31, 2022
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
• Agreement: Consortium of Alberta, Laval, Dalhousie and Ottawa (CALDO)
• Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
• Principal Investigator: Nancy Lopes Garcia
• Grantee: Nancy Lopes Garcia
• Principal researcher abroad: Camila Pedroso Estevam de Souza
• Institution abroad: Western University , Canada
• Principal researcher abroad: Camila Pedroso Estevam de Souza
• Institution abroad: Western University , Canada
• Host Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• City of the host institution: Campinas
• Associated researchers: Miriam Akemi Manabe Capretz ; Ronaldo Dias
• Associated research grant: 17/15306-9 - Incorporating Functional covariates into nonparametric regression models, AP.R

Abstract

Our exchange activities consist of working on two research sub-projects( Analysis of Aggregated Energy Consumption Data, Big Data Analytics for Energy Management) described in details in the project. These subprojects will allow the team to bring all researchers to a common ground by generating research in Statisticsand Software Engineering to advance the state-of-the-art and technology in the energy managementdomain. We have planned our research activities in a such a way to allow the entire team to get together twice at Western plus one research mission of Dr. de Souza to UNICAMP. In addition, Dr. de Souza and Dr. Capretz will also financially support two graduate students to workpartially on the sub-projects (one student per sub-project). These students will be co-supervised by allfour members in the team. (AU)

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

COLLAZOS, JULIAN A. A.; DIAS, RONALDO; MEDEIROS, MARCELO C.. Modeling the evolution of deaths from infectious diseases with functional data models: The case of COVID-19 in Brazil. STATISTICS IN MEDICINE, v. N/A, p. 20-pg., 2023-01-11. (18/04654-9, 19/00787-7)

ALVES, LARISSA C.; DIAS, RONALDO; MIGON, HELIO S.. Variational Bayesian Lasso for spline regression. Computational Statistics, v. 39, n. 4, p. 26-pg., 2024-02-24. (19/00787-7, 19/10800-0)