Results 21 to 30 of about 4,545 (215)
Shaping energy cost management in process industries through clustering and soft sensors
With the ever-increasing growth of energy demand and costs, process monitoring of operational costs is of great importance for process industries.
Yu Lu +8 more
doaj +1 more source
The article points out the possibilities of using static D-Vine copula ARMA-GARCH model for estimation of 1 day ahead market Value at Risk. For the illustration we use data of the four companies listed on Prague Stock Exchange in range from 2010 to 2014.
Václav Klepáč, David Hampel
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The precise prediction of polar motion parameters is needed for the astrogeodynamics, navigation and positioning of the deep space probe. However, the current prediction methods are limited to predicting polar motion for specific periods, either short ...
Kezhi Wu +5 more
doaj +1 more source
Modelling Volatile Time Series with V-Transforms and Copulas
An approach to the modelling of volatile time series using a class of uniformity-preserving transforms for uniform random variables is proposed. V-transforms describe the relationship between quantiles of the stationary distribution of the time series ...
Alexander J. McNeil
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Time Series Forecasting of Partial Signals in Thermal Power Units
Constrained by the performance of the equipment, certain issues have been existing in the main control parameters of boiler during the unit load changing process, such as large time delay and large inertia.
Jiaxing WANG +3 more
doaj +1 more source
Polar motion prediction using the combination of SSA and ARMA
High-precision polar motion (PM) prediction is of important significance in astronomy, geodesy, aviation, hydrographic mapping, interstellar navigation, and so on.
Qiaoli Kong +6 more
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The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics
ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley +1 more source
Stability Monitoring of Batch Processes with Iterative Learning Control
In recent years, the iterative learning control (ILC) is widely used in batch processes to improve the quality of the products. Stability is a preoccupation of batch processes when the ILC is applied.
Yan Wang +3 more
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Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Abstract The Pleistocene is a key period for understanding the evolutionary history and palaeobiogeography of the European rabbit (Oryctolagus cuniculus). The species was first documented in southeastern Iberia at the beginning of the Middle Pleistocene and appears to have rapidly spread throughout Southwestern Europe, where it was found in numerous ...
Maxime Pelletier
wiley +1 more source

