Results 41 to 50 of about 7,605 (274)
, 2022 Electromethanogenesis (EM) is a system that facilitates direct interspecies electron transfer (DIET) in anaerobic digestion (AD) by providing an external power supply to favor desired reactions.
Joonyeob Lee +3 more
core +1 more source
IEEE Access, 2019 This paper proposes a fusion model based on the autoregressive moving average (ARMA) model and Elman neural network (NN) to achieve accurate prediction for the state of health (SOH) of lithium-ion batteries.
Zheng Chen +4 more
doaj +1 more source
A Generic Approach to Covariance Function Estimation Using ARMA-Models
Mathematics, 2020 Covariance function modeling is an essential part of stochastic methodology. Many processes in geodetic applications have rather complex, often oscillating covariance functions, where it is difficult to find corresponding analytical functions for ...
Till Schubert +3 more
doaj +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
Forecasting, 2022 Forecasting daily and weekly passenger demand is a key fundamental process used by existing urban rail transit (URT) station authorities to diagnose operational problems and make decisions about train schedule patterns to improve operational efficiency ...
Dung David Chuwang, Weiya Chen
doaj +1 more source
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
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
The brittleness index in hydraulic fracturing [PDF]
, 2015 We present a new definition of a brittleness index which is used as a criterion for candidate selection of rock intervals for hydraulic fracturing. The new index is a combination of material strength parameters and insitu stresses. It was derived from an
Atkinson, C, Papanastsiou, P
core
Marginally specific alternatives to normal ARMA processes [PDF]
Proceedings of the 19th conference on Winter simulation - WSC '87, 1987 In many practical cases in time series analysis, marginal distributions in stationary situations are not Gaussian. It is therefore necessary to be able to generate and analyze non-Gaussian time series. Several non-Gaussian time series models are discussed in this paper.
Lewis, Peter A.W. +2 more
openaire +2 more sources
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
wiley +1 more source