[HTML][HTML] Using artificial intelligence to improve real-time decision-making for high-impact weather
Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …
Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency
SM Papalexiou - Advances in water resources, 2018 - Elsevier
Hydroclimatic processes come in all “shapes and sizes”. They are characterized by different
spatiotemporal correlation structures and probability distributions that can be continuous …
spatiotemporal correlation structures and probability distributions that can be continuous …
[HTML][HTML] Spatio-temporal short-term wind forecast: A calibrated regime-switching method
Accurate short-term forecasts are indispensable for the integration of wind energy in power
grids. On a wind farm, local wind conditions exhibit sizeable variations at a fine temporal …
grids. On a wind farm, local wind conditions exhibit sizeable variations at a fine temporal …
Improved very short‐term spatio‐temporal wind forecasting using atmospheric regimes
We present a regime‐switching vector autoregressive method for very short‐term wind
speed forecasting at multiple locations with regimes based on large‐scale meteorological …
speed forecasting at multiple locations with regimes based on large‐scale meteorological …
A spliced gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting
Renewable sources of energy such as wind power have become a sustainable alternative to
fossil fuel-based energy. However, the uncertainty and fluctuation of the wind speed derived …
fossil fuel-based energy. However, the uncertainty and fluctuation of the wind speed derived …
Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature
Multivariate time series are of interest in many fields including economics and environment.
The dynamical processes occurring in these domains often exhibit a mixture of different …
The dynamical processes occurring in these domains often exhibit a mixture of different …
Towards a sustainable power grid: Stochastic hierarchical planning for high renewable integration
Driven by ambitious renewable portfolio standards, large-scale inclusion of variable energy
resources (such as wind and solar) are expected to introduce unprecedented levels of …
resources (such as wind and solar) are expected to introduce unprecedented levels of …
A Non‐Gaussian Spatio‐Temporal Model for Daily Wind Speeds Based on a Multi‐Variate Skew‐t Distribution
Facing increasing domestic energy consumption from population growth and
industrialization, Saudi Arabia is aiming to reduce its reliance on fossil fuels and to broaden …
industrialization, Saudi Arabia is aiming to reduce its reliance on fossil fuels and to broaden …
Coherence for multivariate random fields
W Kleiber - Statistica Sinica, 2017 - JSTOR
Multivariate spatial field data are increasingly common and their modeling typically relies on
building cross-covariance functions to describe cross-process relationships. An alternative …
building cross-covariance functions to describe cross-process relationships. An alternative …
Stochastic weather generator for the design and reliability evaluation of desalination systems with Renewable Energy Sources
P Ailliot, M Boutigny, E Koutroulis, A Malisovas… - Renewable Energy, 2020 - Elsevier
Abstract The operation of Renewable Energy Sources (RES) systems is highly affected by
the continuously changing meteorological conditions and the design of a RES system has to …
the continuously changing meteorological conditions and the design of a RES system has to …