<span id="version" style="color: grey; float: right">Version 1.1.1</span>

# Project goal
As stated in the last [IPCC's assessment report](https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_SPM.pdf), the observed climate warming is driven by emissions from human activities.
In order to limit climate change as much as possible, the first recommendation from climate experts is to limit the cumulative CO2 emissions, reaching net zero CO2.
In this context, carbon footprint evaluation is an essential component toward any sustainability strategy and probably one of the first steps toward net zero CO2 for your company.

In this project, central energy managers can :
 - Check the global consumption and co2 emissions of multiple sites and drill down to each site to see the different consumers.
 - Forecast the consumptions and emissions thanks to a visual machine learning model
 - Understand the impact of producing in Germany vs France in terms of CO2 emission, according to the production plan of the following weeks

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# Project value
The project has been designed for energy managers to answer several needs including: 

- Convert electricity consumptions into co2 emissions worldwide, according to the  carbon intensity historical data

- Visualize energy consumption and co2 emissions for all company's sites

- Point out the consequences of producing in a country or another

- Forecast the consumptions and emissions of the differents plants

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