  All productive branches of society need an estimate to be able to control
their expenses well. In the energy business, electric utilities use this
information to control the power flow in the grid. For better energy production
estimation of photovoltaic systems, it is necessary to join multiples
geospatial and meteorological variables. This work proposes the creation of a
satellite data integration platform, with production estimation models, base
stations measurement and actual production capacity. This work presents
statistical, probabilistic and artificial intelligence models that generate
spatial and temporal production estimates that could improve production gains
as well as facilitate the monitoring and supervision of new enterprises are
presented.
