Results 21 to 30 of about 10,501 (161)
Energy Science &Engineering, EarlyView.This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley +1 more source
Infection and Drug Resistance, 2020 Mohsin Khurshid,1,2 Muhammad Hidayat Rasool,2 Usman Ali Ashfaq,3 Bilal Aslam,2 Muhammad Waseem,2 Muhammad Akhtar Ali,4 Ahmad Almatroudi,5 Farhan Rasheed,6 Muhammad Saeed,2 Qinglan Guo,1 Minggui Wang1 1Institute of Antibiotics, Huashan Hospital, Fudan ...
Khurshid M +10 more
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Forest@, 2022 Tree defoliation and mortality are triggered in Europe by extreme climatic events that are recurring since the beginning of XXI century. Data from the ICP Forests monitoring networks reveal a general worsening of tree conditions in the last ten years, as
Bussotti F +8 more
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Intraday Functional PCA Forecasting of Cryptocurrency Returns
Journal of Forecasting, EarlyView.ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Evaluating Forecasts at Multiple Horizons: An Extension of the Diebold–Mariano Approach
Journal of Forecasting, EarlyView.ABSTRACT Forecast accuracy tests are fundamental tools for comparing competing predictive models. The widely used Diebold–Mariano (DM) test assesses whether differences in forecast errors are statistically significant. However, its standard form is limited to pairwise comparisons at a single forecast horizon.
Andrew Grant +2 more
wiley +1 more source
Technology drives changes in records management requirements
Acervo, 2015 Today’s businesses depend on technology for creating and managing records and information. Our records management frameworks must shift to embrace technology along with traditional record formats.
Diane K. Carlisle
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DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning
Journal of Forecasting, EarlyView.ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley +1 more source
Evaluation of Combined ARMA-ARCH and BL-ARCH models in Modeling Lake Urmia water level [PDF]
علوم و مهندسی آبیاری, 2017 Many nonlinear models have been developed based on the mean errors modeling. However, the non-linear models with Autoregressive conditional heteoscedasticity are based on variance modeling. These models are combined with linear models, partly to increase
Mohammad Nazeri Tahrudi +3 more
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Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
Food Safety and Health, EarlyView.This paper highlights a concerning scenario of environmental contamination by multidrug‐resistant bacteria, underscoring the need for integrated surveillance and control strategies to address antimicrobial resistance in aquatic environments within the context of One Health.
Francisco Lucas de Amorim Nascimento +13 more
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