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Political Communication in Context: A Genre-Based Approach
(Brill Academic Publishers, 2015)
Data-driven analysis and machine learning for energy prediction in distributed photovoltaic generation plants: A case study in Queensland, Australia
(2022-04-01)
Understanding patterns and energy-related data in photovoltaic systems is one of the key tasks in energy generation and distribution. In fact, the use of data-driven tools and predictive learning models can support the ...
Data-driven representations for testing independence: modeling, analysis and connection with mutual information estimation
(IEEE-Inst Electrical Electronics Engineers, 2022)
This work addresses testing the independence of two
continuous and finite-dimensional random variables from the design of a data-driven partition. The empirical log-likelihood statistic is adopted to approximate the ...
Towards assessing the electricity demand in Brazil: Data-driven analysis and ensemble learning models
(2020-01-01)
The prediction of electricity generation is one of the most important tasks in the management of modern energy systems. Improving the assertiveness of this prediction can support government agencies, electric companies, ...
Big Data and the challenges it poses to Abuse of Dominant PositionBig Data y los desafíos que plantea al Abuso de Posición de Dominio
(Revista de Actualidad Mercantil, 2020)
Towards providing effective data-driven responses to predict the covid-19 in são paulo and brazil
(2021-01-02)
São Paulo is the most populous state in Brazil, home to around 22% of the country’s population. The total number of Covid-19-infected people in São Paulo has reached more than 1 million, while its total death toll stands ...