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Top-down strategies based on adaptive fuzzy rule-based systems for daily time series forecasting
(Elsevier Science BvAmsterdamHolanda, 2011)
Dynamic optimization of fuzzy cognitive maps for time series forecasting
(Elsevier B.V., 2016)
Evaluation of bottom-up and top-down strategies for aggregated forecasts: state space models and arima applications
(Universidad de la Costa, 2020)
Spatial electric load forecasting using a local movement approach
(2009-12-09)
An agent based model for spatial electric load forecasting using a local movement approach for the spatiotemporal allocation of the new loads in the service zone is presented. The density of electrical load for each of the ...
Spatial electric load forecasting using a local movement approach
(2009-12-09)
An agent based model for spatial electric load forecasting using a local movement approach for the spatiotemporal allocation of the new loads in the service zone is presented. The density of electrical load for each of the ...
Evolving Possibilistic Fuzzy Modeling For Realized Volatility Forecasting With Jumps
(IEEE-Ins Electrical Electronics Engineers IncPiscataway, 2017)
A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series
(Revista Computación y Sistemas; Vol. 14 No. 4, 2011-06-06)
Abstract. In this work a feed-forward NN based NAR model for forecasting time series is presented. The learning rule used to adjust the NN weights is based on the Levenberg-Marquardt method. In function of the long or short ...