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Using Time Series Analysis to support the Water Resources Management in the Upper Basin of the Suquía River
(Universidad de Effurun, 2015-03)
A time series analysis is a valuable tool to get information about analyzed data structures and their components, which providesa good basis for successful future predictions. This information is useful to make decisions ...
Selecting control sites for post-fire ecological studies using biological criteria and modis time series data
(Association for Fire Ecology, 2017-02)
Wildland fires play a key role in the functioning and structure of vegetation. The availability of sensors aboard satellites, such as Moderate Resolution Imaging Spectroradiometer (MODIS), makes possible the construction ...
An alternative approach to deal with the absence of clinical trials: a proportional meta-analysis of case series studies
(Sociedade Brasileira para o Desenvolvimento da Pesquisa em Cirurgia, 2014)
Comparing non-stationary and irregularly spaced time series
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
In this paper, we present approximate distributions for the ratio of the cumulative wavelet periodograms considering stationary and non-stationary time series generated from independent Gaussian processes. We also adapt ...
Communicating uncertainty about groundwater scenarios using stochastic simulation of water table depths time series
(2012-01-01)
Time series modeling provides an empirical stochastic method to model monitoring data from observation wells, without the complexity of physical mechanistic models. In the same direction, geostatiscal methods are used to ...
Estudo de eventos de El Niño e La Niña em anéis de crescimento de árvores para a região Sul do Brasil
(Universidade Federal de Santa MariaBRMeteorologiaUFSMPrograma de Pós-Graduação em Meteorologia, 2012-02-24)
In climatology it is of fundamental importance to make predictions about the behavior
of certain variables. For this it is necessary that current and past behavior of these
variables is known. In this context, the use ...
Sustainable resource management in a supply chain: a methodological proposal combining zero-inflated fuzzy time series and clustering techniques
(Emerald Group Publishing Ltd, 2020-07-14)
Purpose The purpose of this paper is to analyze demand forecast strategies to support a more sustainable management in a pallet supply chain, and thus avoid environmental impacts, such as reducing the consumption of forest ...
Métodos de dados sub-rogados aplicados a séries temporais
(Universidade Federal de Minas GeraisUFMG, 2008-03-19)
In recent years the method of surrogate data has been widely applied to the analysis of determinism in time series, mainly those time series generated by a nonlinear mechanism (Theiler et al., 1992). Since the techniques ...
An Improved Deep Learning Model for Electricity Price Forecasting
Accurate electricity price forecasting (EPF) is important for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity market. Besides that, EPF becomes critically ...