187 citations · 304 across the 13 of their papers we have counts for
13 papers
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential
Federico Amato, Fabian Guignard, Alina Walch +3
The growth of wind generation capacities in the past decades has shown that wind energy can contribute to the energy transition in many parts of the world. Being highly variable an…
Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals
Fabian Guignard, Federico Amato, Mikhail Kanevski
Uncertainty quantification is crucial to assess prediction quality of a machine learning model. In the case of Extreme Learning Machines (ELM), most methods proposed in the literat…
On Feature Selection Using Anisotropic General Regression Neural Network
Federico Amato, Fabian Guignard, Philippe Jacquet +1
The presence of irrelevant features in the input dataset tends to reduce the interpretability and predictive quality of machine learning models. Therefore, the development of featu…
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning
Federico Amato, Fabian Guignard, Sylvain Robert +1
As the role played by statistical and computational sciences in climate and environmental modelling and prediction becomes more important, Machine Learning researchers are becoming…
Spatio-temporal evolution of global surface temperature distributions
Federico Amato, Fabian Guignard, Vincent Humphrey +1
Climate is known for being characterised by strong non-linearity and chaotic behaviour. Nevertheless, few studies in climate science adopt statistical methods specifically designed…
Advanced analysis of temporal data using Fisher-Shannon information: theoretical development and application in geosciences
Fabian Guignard, Mohamed Laib, Federico Amato +1
Complex non-linear time series are ubiquitous in geosciences. Quantifying complexity and non-stationarity of these data is a challenging task, and advanced complexity-based explora…
Analysis of air pollution time series using complexity-invariant distance and information measures
Federico Amato, Mohamed Laib, Fabian Guignard +1
Air pollution is known to be a major threat for human and ecosystem health. A proper understanding of the factors generating pollution and of the behavior of air pollution in time…
Fisher-Shannon complexity analysis of high-frequency urban wind speed time series
Fabian Guignard, Dasaraden Mauree, Michele Lovallo +2
1Hz wind time series recorded at different levels (from 1.5 to 25.5 meters) in an urban area are investigated by using the Fisher-Shannon (FS) analysis. FS analysis is a well known…
Wavelet variance scale-dependence as a dynamics discriminating tool in high-frequency urban wind speed time series
Fabian Guignard, Dasaraden Mauree, Mikhail Kanevski +1
High frequency wind time series measured at different heights from the ground (from 1.5 to 25.5 meters) in an urban area were investigated by using the variance of the coefficients…
Community detection analysis in wind speed-monitoring systems using mutual information-based complex network
Mohamed Laib, Fabian Guignard, Mikhail Kanevski +1
A mutual information-based weighted network representation of a wide wind speed monitoring system in Switzerland was analysed in order to detect communities. Two communities have b…
Analysis of temporal properties of wind extremes
Luciano Telesca, Fabian Guignard, Mohamed Laib +1
The 10-minute average wind speed series recorded at 132 stations distributed rather homogeneously in the territory of Switzerland are investigated. Wind extremes are defined on the…
Linearity versus non-linearity in high frequency multilevel wind time series measured in urban areas
Luciano Telesca, Mohamed Laib, Fabian Guignard +2
In this paper, high frequency wind time series measured at different heights from the ground (from 5.5 to 25.5 meters) in an urban area were investigated. The spectrum of each seri…
Investigating the time dynamics of wind speed in complex terrains by using the Fisher-Shannon method
Fabian Guignard, Michele Lovallo, Mohamed Laib +4
In this paper, the time dynamics of the daily means of wind speed measured in complex mountainous regions are investigated. For 293 measuring stations distributed over all Switzerl…