Results 51 to 60 of about 4,516 (208)
Parsimonious Network Traffic Modeling By Transformed ARMA Models
Generating synthetic data traffic, which statistically resembles its recorded counterpart is one of the main goals of network traffic modeling. Equivalently, one or several random processes shall be created, exhibiting multiple prescribed statistical ...
Markus Laner +2 more
doaj +1 more source
Testing for long memory in volatility in the Indian Forex market [PDF]
This article attempts to verify the presence of long memory in volatility in the Indian foreign exchange market using daily bilateral returns of the Indian Rupee against the US dollar from 17/02/1994 to 08/11/2013.
Kumar Anoop S.
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Laser welding of duplex stainless steel disrupts phase balance, promotes nitride precipitation, and reduces fatigue resistance. Postweld heat treatment restores austenite and dissolves nitrides, but the resulting crystallography and phase morphology still impair fatigue performance.
Aparecida Silva Magalhães +6 more
wiley +1 more source
To address the static voltage stability issue and suppress the voltage fluctuation caused by the increasing integration of wind farms and solar photovoltaic (PV) power plants, a two-tier reactive power and voltage control strategy based on ARMA power ...
Jinling Lu +6 more
doaj +1 more source
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions.
Yakun Chen +7 more
wiley +1 more source
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
Linear Ensembles for WTI Oil Price Forecasting
This paper investigated the use of linear models to forecast crude oil futures prices (WTI) on a monthly basis, emphasizing their importance for financial markets and the global economy.
João Lucas Ferreira dos Santos +5 more
doaj +1 more source
Testing and modelling autoregressive conditional heteroskedasticity of streamflow processes [PDF]
Conventional streamflow models operate under the assumption of constant variance or season-dependent variances (e.g. ARMA (AutoRegressive Moving Average) models for deseasonalized streamflow series and PARMA (Periodic AutoRegressive Moving Average ...
W. Wang +4 more
doaj
Herbivore and mesocarnivore carcasses trigger divergent short‐term changes in soil properties
Scavengers reshape nutrient cycles in soils under carrion. Compared to herbivore carcasses, smaller but longer‐lasting carnivore remains boost nutrient levels and microbial activity in dry soils. Abstract Animal corpses act as pulses of organic matter (OM) and serve a key zoogeochemical role by providing localized nutrient inputs to soils and thereby ...
Adrián Colino‐Barea +15 more
wiley +1 more source
Aim: The article considers the time series case of the closing prices of the S&P500 index over the period from January 2020 to April 2021. The author selected the best ARMA(p,q)-GARCH(1,1) models with different forms of probability density functions. The
Damian Wiśniewski
doaj +1 more source

