Solar Energy and Data Science: a prediction study for Manaus and the
Amazon Basin
Abstract
The renewable energies have confirmed their potential to reshape the
energy matrix of several countries, in the last two decades, reinforcing
the set of actions to better protect the environment. For instance, the
solar and wind sources of energy production can dim the production and
release of pollutants associated to electricity production.
Unfortunately, the atmospheric temperature rise has been linked to the
increase of the gas emissions, such as Carbon Dioxide (CO2) and Methane
(CH4), from manifold sources, such as the thermal power stations for
electricity generation. The Amazon basin has caught special importance
for Brazil and abroad, and more recently, the use of satellites, fixed
instrumented stations and airborne surveys has provided data focused on
studies of the environment impact. This work deals with the assessment
of the solar irradiation on the Manaus city, the largest city in the
Western Amazon region, using Data Science tools, in a way to help the
evaluation of the renewable energy in that region.