Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Petrônio Cândido de Lima e Silva"'
Publikováno v:
Neurocomputing. 512:153-177
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3409b18f6abaf108a8189ab55845ba0b
https://doi.org/10.1016/j.neucom.2022.09.030
https://doi.org/10.1016/j.neucom.2022.09.030
Autor:
Frederico Gadelha Guimarães, Carlos A. Severiano, Petrônio Cândido de Lima e Silva, Miri Weiss Cohen
Publikováno v:
Renewable Energy. 171:764-783
Forecasting in Renewable Energy Systems is a challenging problem since their inputs present some uncertainties in the data distribution. On the other hand, there is an increasing volume of information recorded by such systems that can be explored by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eba1ccbc93f14e33fbda58bb5540aff
https://doi.org/10.1016/j.renene.2021.02.117
https://doi.org/10.1016/j.renene.2021.02.117
Autor:
Hélder Seixas Lima, Petrônio Cândido de Lima e Silva, Wagner Meira, Frederico Gadelha Guimarães
The Covid-19 pandemic affected Brazil with severity. Brazil is a large country characterized by significant socioeconomic inequalities among its regions. This study aimed to check the sociodemographic factors associated with the Covid-19 mortality ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::383233555213d321ddf0cf4564904ca8
https://doi.org/10.21203/rs.3.rs-1889058/v1
https://doi.org/10.21203/rs.3.rs-1889058/v1
Autor:
Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, Rodrigo Silva, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
Publikováno v:
Energy. 271:127072
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56308a3bf8a066cc97fc9b7f4ea57f65
https://doi.org/10.1016/j.energy.2023.127072
https://doi.org/10.1016/j.energy.2023.127072
Autor:
Mahmod Othman, Petrônio Cândido de Lima e Silva, Yousif Alyousifi, Rajalingam Sokkalingam, Ibrahima Faye
Publikováno v:
International Journal of Fuzzy Systems. 22:1468-1486
Air pollution is one of the main environmental issues faced by most countries around the world. Forecasting air pollution occurrences is an essential topic in air quality research due to the increase in awareness of its association with public health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52b75e0ff125ffa1d6c6e173de73ffb8
https://doi.org/10.1007/s40815-020-00841-w
https://doi.org/10.1007/s40815-020-00841-w
Among various soft computing approaches for time series forecasting, Fuzzy Cognitive Maps (FCM) have shown remarkable results as a tool to model and analyze the dynamics of complex systems. FCM have similarities to recurrent neural networks and can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c73d39fca651fcb57c93765c06fb67b7
Autor:
Frederico Gadelha Guimarães, Eduardo Pestana de Aguiar, Arthur Caio V. e Pinto, Christian Wagner, Petrônio Cândido de Lima e Silva
Publikováno v:
FUZZ-IEEE
Time series forecasting is an essential research field that provides significant data to help professionals in several areas. Thus, growing research and development in this area have been conducted, aiming at developing new forecasting methods with h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f65919f53be1d7db7a4698c09a411650
https://doi.org/10.1109/fuzz45933.2021.9494452
https://doi.org/10.1109/fuzz45933.2021.9494452
Autor:
Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães, Hossein Javedani Sadaei, Muhammad Hisyam Lee
Publikováno v:
Energy. 175:365-377
We propose a combined method that is based on the fuzzy time series (FTS) and convolutional neural networks (CNN) for short-term load forecasting (STLF). Accordingly, in the proposed method, multivariate time series data which include hourly load dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14eeb7a6a0b9c7c2a6d1af9b0ca9fe52
https://doi.org/10.1016/j.energy.2019.03.081
https://doi.org/10.1016/j.energy.2019.03.081
Autor:
Marcos Antonio Alves, Petrônio Cândido de Lima e Silva, Helder Seixas Lima, Paulo V. C. Batista, Rodrigo C. P. Silva, Frederico Gadelha Guimarães
Publikováno v:
Chaos, Solitons, and Fractals
Chaos, Solitons & Fractals
Chaos, Solitons & Fractals
The COVID-19 pandemic due to the SARS-CoV-2 coronavirus has directly impacted the public health and economy worldwide. To overcome this problem, countries have adopted different policies and non-pharmaceutical interventions for controlling the spread
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e889a679fe408c3df66d06fbb99fe751
http://europepmc.org/articles/PMC7340090
http://europepmc.org/articles/PMC7340090
On time series forecasting field the most known methods are based on point forecasting. However, this kind of forecasting has a serious drawback: it does not quantify the uncertainties inherent to natural and social processes neither other uncertaint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78cd8c3cef260eee0d11fa98fc2c2742