Review of estimating and predicting models of the wind energy amount

V Simankov, P Buchatskiy, S Teploukhov… - Energies, 2023 - mdpi.com
Obtaining wind energy for the production of electric energy plays a key role in overcoming
the problems associated with climate change and the dwindling reserves of traditional types …

A temporal model for vertical extrapolation of wind speed and wind energy assessment

P Crippa, M Alifa, D Bolster, MG Genton, S Castruccio - Applied Energy, 2021 - Elsevier
Accurate wind speed estimates at turbine hub height are critical for wind farm operational
purposes, such as forecasting and grid operation, but also for wind energy assessments at …

Closing the gap between wind energy targets and implementation for emerging countries

P Giani, F Tagle, MG Genton, S Castruccio, P Crippa - Applied Energy, 2020 - Elsevier
Policymakers worldwide have set challenging sustainable energy targets to decarbonize
their economy. Despite the ambitious pledges, several emerging countries still lack an …

Bayesian spatio-temporal models for stream networks

E Santos-Fernandez, JM Ver Hoef, EE Peterson… - … Statistics & Data …, 2022 - Elsevier
Spatio-temporal models are widely used in many research areas including ecology. The
recent proliferation of the use of in-situ sensors in streams and rivers supports space-time …

Forecasting high-frequency spatio-temporal wind power with dimensionally reduced echo state networks

H Huang, S Castruccio… - Journal of the Royal …, 2022 - academic.oup.com
Fast and accurate hourly forecasts of wind speed and power are crucial in quantifying and
planning the energy budget in the electric grid. Modelling wind at a high resolution brings …

Mixed copula-based uncertainty modeling of hourly wind farm production for power system operational planning studies

WPJ Philippe, S Zhang, S Eftekharnejad… - IEEE …, 2020 - ieeexplore.ieee.org
An effective model to represent real-world wind power production scenarios is essential for
an accurate assessment of the impact of wind power generation on power systems. Such a …

[HTML][HTML] Reproducing internal variability with few ensemble runs

S Castruccio, Z Hu, B Sanderson… - Journal of …, 2019 - journals.ametsoc.org
Reproducing Internal Variability with Few Ensemble Runs in: Journal of Climate Volume 32 Issue
24 (2019) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …

A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources

F Tagle, MG Genton, A Yip, S Mostamandi… - …, 2020 - Wiley Online Library
Saudi Arabia has recently established its renewable energy targets as part of its “Vision
2030” proposal, which represents a roadmap for reducing the country's dependence on oil …

Scalable computation of predictive probabilities in probit models with Gaussian process priors

J Cao, D Durante, MG Genton - Journal of Computational and …, 2022 - Taylor & Francis
Predictive models for binary data are fundamental in various fields, and the growing
complexity of modern applications has motivated several flexible specifications for modeling …

A hierarchical bi-resolution spatial skew-t model

F Tagle, S Castruccio, MG Genton - Spatial Statistics, 2020 - Elsevier
Advances in Gaussian methodology for spatio-temporal data have made it possible to
develop sophisticated non-stationary models for very large data sets. The literature on non …