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Improvement on the sales forecast accuracy for a fast growing company by the best combination of historical data usage and clients segmentation
(2014-10-29)
Industrial companies in developing countries are facing rapid growths, and this requires having in place the best organizational processes to cope with the market demand. Sales forecasting, as a tool aligned with the general ...
Dynamic optimization of fuzzy cognitive maps for time series forecasting
(Elsevier B.V., 2016)
On predicting wind power series by using Bayesian Enhanced modified based-neural network
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this paper, wind power series prediction using BEA modified (BEAmod.) neural networks-based approach is presented. Wind power forecasting is a complex, multidimensional, and highly non-linear system. Neural network is ...
Forecasting Analytics
(ITESO, 2021-05)
Fuzzy Time Series Methods Applied to Short -Term Photovoltaic Power Forecasting Forecasting
(, 2021)
Abstract— Solar photovoltaic energy has shown a significant growth in the last decade. In the face of this growth, there are challenges to consider for the high penetration rates of solar photovoltaic, since this type of ...
Forecasting energy time-series data using a fuzzy ARTMAP neural network
(2020-10-14)
Time-series forecasting is an important field of machine learning and is fundamental in analyzing trends based on historical data from various sources. In this paper, a fuzzy ARTMAP neural network for time-series forecasting ...
Noisy Chaotic time series forecast approximated by combining Reny's entropy with Energy associated to series method: Application to rainfall series
(IEEE Computer Society, 2017)
This article proposes that the combination of smoothing approach considering the entropic information provided by Renyi's method, has an acceptable performance in term of forecasting errors. The methodology of the proposed ...
A panel data approach to economic forecasting: the bias-corrected average forecast
(Escola de Pós-Graduação em Economia da FGV, 2008-01-01)
In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using ...
A panel data approach to economic forecasting: the bias-corrected average forecast
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2007-09-01)
In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using ...