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- W4297384353 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." @default.
- W4297384353 created "2022-09-28" @default.
- W4297384353 creator A5003757782 @default.
- W4297384353 date "2022-09-27" @default.
- W4297384353 modified "2023-10-15" @default.
- W4297384353 title "Solar Energy and Data Science: a prediction study for Manaus and the Amazon Basin" @default.
- W4297384353 doi "https://doi.org/10.1002/essoar.10512485.1" @default.
- W4297384353 hasPublicationYear "2022" @default.
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