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A data-driven forecasting strategy to predict continuous hourly energy demand in smart buildings
(2021)
Smart buildings seek to have a balance between energy consumption and occupant com-fort. To make this possible, smart buildings need to be able to foresee sudden changes in the build-ing’s energy consumption. With the help ...
Haar Wavelet Neural Network for Multi-step-ahead Anchovy Catches Forecasting
(2014)
This paper proposes a hybrid multi-step-ahead forecasting model based on two stages to improve pelagic fish-catch time-series modeling. In the first stage, the Fourier power spectrum is used to analyze variations within a ...
Haar Wavelet Neural Network for Multi-step-ahead Anchovy Catches Forecasting
(2014)
This paper proposes a hybrid multi-step-ahead
forecasting model based on two stages to improve pelagic
fish-catch time-series modeling. In the first stage, the Fourier
power spectrum is used to analyze variations within ...
Multi-Step-Ahead Forecasting Model for Monthly Anchovy Catches Based on Wavelet Analysis
(2014)
This paper presents a p-step-ahead forecasting strategy based on two stages to improve pelagic fish-catch time-series modeling by considering annual and interannual fluctuations for northern Chile (18 degrees S-24 degrees ...
Análise de desempenho da rede neural artificial ARTMAP fuzzy aplicada para previsão multi-step de cargas elétricas em diferentes níveis de agregação
(Universidade Estadual Paulista (Unesp), 2018-02-26)
A maior inserção de tecnologias da informação nas redes de distribuição de energia elétrica vem permitindo que maiores volumes de dados de consumo sejam capturados em níveis cada vez mais detalhados, menos agregados e com ...