Three major challenges are foreseen to be studied, the first is the increase in electricity consumption, the second is the development of renewable energies and the third is that of climate change.
The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. It is around this thematic that is shaping the outlines of the economy of the future, and behind these topics is the possibility of transforming society.
Taking advantage of the advent of "big data" driven by the growing power of microprocessors, which makes the complexity of renewable energy systems accessible. Especially since the algorithms of artificial intelligence are gourmand in data making it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows.
Ic-aires2017 aims to bring together researchers, scientists and engineers to take stock of active energy efficiency aimed at achieving energy savings by optimizing the operation of renewable energy equipment and systems through intelligent control measurement systems and regulation.
Ic-aires2017 is a good opportunity for both specialists, on the one hand those who work on energy systems and on the other hand, those who deal with data, algorithms and models of artificial intelligence to combine their knowledge And their intellectual potential for the benefit of the scientific community and humanity.