Inicially there is 5 solar systems they can be find on the file "Inversors data" and they show the power production of photovoltaic energy. On each sub-data file you can find the daily production of this systems. I am working on a database file to simplify the data, but I am still learning.

1 Time -- object 2 Production（kW） -- float64 (Main column) 3 Consumption（kW） -- float64 (Not useful column, most time copy of Production(kW) ) 4 Temperature（℃） -- float64 5 Weather -- object 6 Date -- object 7 Hour -- object

Main Objective: Install solar system in residencial roofs have its owns challenges of shadowness. Each production vary because of the roof caracteristics and shadowness around. To look into this is necessary map the system and extract the shadow variaty over the year in the roof. On this dataset we can find the production but more information is necessary learn what the enveroment influence over the photovoltaic generation. To get this information I am mapping the systems shadown and intend to excracte numerically information about the shadowness as soon as possible its a big challenge itself.

Future: I am now mapping my solar systems with a drone and the results is very useful to see shadowns on the modules. On Analyses code you can see that Paulino's system has a large distribution of values and this kind of production distributions shows us a indicative of shadowness resulting in inefficiency and wast.

Next atualization: I will be uploading this dataset montly and getting the production up to date but more important I will bring a numerical anual set of information by each system as soon as I develop a way to do it. I already have the mapping by drone next step is use the software sketchup to excrate this shadow info.