Results 191 to 200 of about 45,179 (311)

Probabilistic Short-Term Sky Image Forecasting Using VQ-VAE and Transformer Models on Sky Camera Data. [PDF]

J Imaging
Seyidbayli C, Nezakat S, Reinhardt A.
europepmc   +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, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Battery capacity degradation trajectory prediction for wearable medical devices with deep temporal decomposition. [PDF]

Sci Rep
Hu Y, Liu Y, Li H, Chen X, Yang Y.
europepmc   +1 more source

The uniform autoregressive process of the second order (UAR(2))

We introduce a stationary uniform autoregressive process of second order. Spectral density, autocovariance and autocorrelation functions are derived.
Ristic, Miroslav M., Popovic, Biljana C.
core  

Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model

Journal of Forecasting, EarlyView.
ABSTRACT This paper introduces a Threshold Asymmetric Conditional Autoregressive Range (TACARR) model for analyzing the daily price ranges of financial assets. The proposed formulation assumes that the conditional expected range switches between two regimes, representing upward and downward market states, with the disturbance distribution also allowed ...
Isuru Ratnayake, V. A. Samaranayake
wiley   +1 more source

High resolution temperature forecasting using functional time series decomposition and advanced predictive models. [PDF]

Sci Rep
Alshanbari HM, Aldhabani MS, Iqbal N, Saeed AM, Noori N.   +4 more
europepmc   +1 more source

Analysing the Drivers of Cropland Footprint in Leading Agricultural Nations: Evidence From MMQR Approach

Geological Journal, EarlyView.
ABSTRACT Climate change represents the biggest current challenge for us and for future generations. Its impact on agriculture is undeniable, considering the food security goal. Thus, the cropland footprint has been distinguished as a comprehensive index for assessing the impact of environmental changes in agricultural areas determined by the increased ...
Ibrahim Cutcu, Magdalena Radulescu
wiley   +1 more source

An adaptive autoregressive integration model for multi-variate time series analysis of extreme climate events. [PDF]

Sci Rep
Xin N, Su J, Hasan MM.
europepmc   +1 more source

Extremal behavior of the autoregressive process with ARCH(1) errors

We investigate the extremal behavior of a special class of autoregressive processes with ARCH(1) errors given by the stochastic difference equationwhere are i.i.d. random variables. The extremes of such processes occur typically in clusters.
Borkovec, Milan
core  

Climate change effects on biomass and greenhouse gas emissions are ameliorated by nontoxic endophytes in southeastern USA transition zone tall fescue pastures

Grassland Research, EarlyView.
Tall fescue produces more biomass and less carbon dioxide from the soil when it contains its beneficial fungal endophyte. Increased temperatures projected with climate change reduce fescue biomass, while altered rainfall frequency does not. Altering rainfall frequency and increasing temperatures can reduce carbon dioxide emissions from soil.
Rebecca K. McGrail, Jonathan D. Moore, A. Elizabeth Carlisle, Jim A. Nelson, Rebecca L. McCulley   +4 more
wiley   +1 more source