Buscar
Mostrando ítems 31-40 de 11998
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 ...
Central Bank credibility and inflation expectations: a microfounded forecasting approach
(Escola de Pós-Graduação em Economia da FGV, 2019-02)
Credibility is elusive and no generally agreed upon measure of it exists. Despite that, Blinder (2000) generated a consensus in the literature by arguing that ”A central bank is credible if people believe it will do what ...
Applying a microfounded-forecasting approach to predict Brazilian inflation
(EPGE - Escola Brasileira de Economia e Finanças, 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 ...
Assessment of seasonal soil moisture forecasts over Southern South America with emphasis on dry and wet events
(American Meteorological Society, 2017-08)
The importance of forecasting extreme wet and dry conditions from weeks to months in advance relies on the need to prevent considerable socioeconomic losses, mainly in regions of large populations and where agriculture is ...
Seasonal drought forecasting for Latin America using the ECMWF S4 forecast system
(Multidisciplinary Digital Publishing Institute, 2018-06)
Meaningful seasonal prediction of drought conditions is key information for end-users and water managers, particularly in Latin America where crop and livestock production are key for many regional economies. However, there ...
On the logistic modeling and forecasting of evolutionary processes: Application to human population dynamics
(Elsevier Science IncNew YorkEUA, 2010)