Search Results for author: Petrônio Cândido de Lima e Silva

Found 3 papers, 1 papers with code

Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey

no code implementations • 7 Jan 2022 • Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

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.

Time Series Time Series Forecasting

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Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications

no code implementations • 3 Dec 2021 • Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

The prediction of residential power usage is essential in assisting a smart grid to manage and preserve energy to ensure efficient use.

Time Series Time Series Forecasting

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Forecasting in Non-stationary Environments with Fuzzy Time Series

1 code implementation • 27 Apr 2020 • Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Marcos Antonio Alves, Rodrigo Silva, Miri Weiss Cohen, Frederico Gadelha Guimarães

In this approach, we employ Non-Stationary Fuzzy Sets, in which perturbation functions are used to adapt the membership function parameters in the knowledge base in response to statistical changes in the time series.

Time Series Time Series Analysis

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