Results 61 to 70 of about 94,299 (278)

Spatial Analysis of Agricultural Waste and By‐Products to Tackle the Water–Energy Nexus in Rural Mozambique

open access: yesGlobal Challenges, Volume 10, Issue 1, January 2026.
This study presents a geographic information system‐based, participatory methodology to identify high‐potential zones for agricultural waste valorization in rural Mozambique. By integrating spatial data with local knowledge, it reveals opportunities for bioenergy production and sustainable water use. The findings support circular development strategies,
Giuseppe Mancuso   +4 more
wiley   +1 more source

R-vine Models for Spatial Time Series with an Application to Daily Mean Temperature [PDF]

open access: yes, 2014
We introduce an extension of R-vine copula models for the purpose of spatial dependency modeling and model based prediction at unobserved locations.
Czado, Claudia   +2 more
core  

Stress Testing German Industry Sectors: Results from a Vine Copula Based Quantile Regression

open access: yes, 2017
Measuring interdependence between probabilities of default (PDs) in different industry sectors of an economy plays a crucial role in financial stress testing. Thereby, regression approaches may be employed to model the impact of stressed industry sectors
Czado, Claudia   +3 more
core   +1 more source

Operational Convection‐Permitting COSMO/ICON Ensemble Predictions at Observation Sites (CIENS)

open access: yesGeoscience Data Journal, Volume 13, Issue 1, January 2026.
Map of synoptic stations in Germany for which ensemble forecasts and observations are provided in the CIENS dataset. Colours represent the station altitude in metres. ABSTRACT We present the CIENS dataset, which contains ensemble weather forecasts from the operational convection‐permitting numerical weather prediction model of the German Weather ...
Sebastian Lerch   +6 more
wiley   +1 more source

Assessing Efficiency of D-Vine Copula ARMA-GARCH Method in Value at Risk Forecasting: Evidence from PSE Listed Companies

open access: yesActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015
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
doaj   +1 more source

A Century of Drought Research (1900–2023): Scientific Developments, Methodological Innovations, and Emerging Frontiers

open access: yesWater Resources Research, Volume 62, Issue 1, January 2026.
Abstract Drought significantly affects water resources, agriculture, energy, and ecosystems, revealing enduring socio‐economic vulnerabilities over the centuries. This review synthesizes a century of development and recent advances in drought research (1900–2023), drawing on a bibliometric analysis of over 152,000 peer‐reviewed publications. The review
Amitesh Sabut, Ashok Mishra
wiley   +1 more source

Flexibility Assessment in AC/DC Hybrid Distribution Networks via Spatiotemporal Source‐Load Scenario Generation

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This study develops a spatiotemporal source‐load scenario generation framework using Copula‐Markov chains, R‐Vine Copulas and user behaviour models. A novel flexibility assessment framework quantifies supply‐demand imbalances, showing flexibility resources like demand response and VSC capacity shape system flexibility. ABSTRACT Global energy transition
Kang Yue   +5 more
wiley   +1 more source

Testing the simplifying assumption in high-dimensional vine copulas

open access: yes, 2021
Testing the simplifying assumption in high-dimensional vine copulas is a difficult task. Tests must be based on estimated observations and amount to checking constraints on high-dimensional distributions.
Kurz, Malte S., Spanhel, Fabian
core  

A Scenario Generation Method for Wind/PV Power Outputs and Load Sequences Preserving Extreme Scenario Characteristics

open access: yesIET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This paper proposes a scenario generation method for wind/photovoltaic power outputs and load sequences, which is able to preserve the characteristics of extreme scenarios. The method extracts extreme scenarios via an iterative procedure and generates conventional scenarios using a double‐layer Markov chain Monte Carlo model.
Xiong Wu   +4 more
wiley   +1 more source

Variational Bayes Estimation of Discrete-Margined Copula Models with Application to Time Series

open access: yes, 2018
We propose a new variational Bayes estimator for high-dimensional copulas with discrete, or a combination of discrete and continuous, margins. The method is based on a variational approximation to a tractable augmented posterior, and is faster than ...
Loaiza-Maya, Ruben   +1 more
core   +1 more source

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