shubhvjain / eu-energy-data

Gathering and analyzing electricity generation data from the ENTSO-E portal

EU Energy Data

Gathering and analyzing electricity generation data from the ENTSO-E portal.

Setup

1. Get API token to access ENTSOE data from https://uat-transparency.entsoe.eu/content/static_content/Static%20content/web%20api/Guide.html
2. Add the API to the env variable "ENTSOE_API" .
3. Create a new conda env : conda create --name eudata
4. Switch to the new env : conda activate eudata
5. Install required packages : conda install pandas , python3 -m pip install entsoe-py

Project folder structure

• entsoeAPI.py : contains code to get data from ENTSOE portal using the "entsoe-py" client
• util.py : contains utility functions
• data folder : contains various types of data downloaded from different countries from the entsoe APIs
• analysis folder : some note books analyzing downloaded data

Data

Country	Code	Actual	Forecast
Austria	AT
Belgium	BE	60	60
Bulgaria	BG	60	60
Croatia	HR	60	60
Cyprus	CY
Czech Republic	CZ	60	60
Denmark	DK	60	60
Estonia	EE	60	60
Finland	FI	60	60
France	FR	60	60
Germany	DE	60	60
Greece	GR	60	60
Hungary	HU	15,60	60
Italy	IT	60	60
Latvia	LV	60	60
Lithuania	LT	60	60
Luxembourg	LU	15,60	60
Malta	MT
Netherlands	NL	60	60
Poland	PL	60	60
Portugal	PT	60	60
Romania	RO		60
Slovakia	SK	60	60
Slovenia	SI		60
Spain	ES		60
Sweden	SE		60

eu-energy-data's Issues

Add documentation

Documentation

• move dashboard to dash.html
• write the complete article on index.html
• readme.md

Dashboard to visualize data

Using plotly

Check this out to deploy this dashboard : https://dash.plotly.com/deployment

Carbon intensity value comparision

The values of carbon intensity generated using the methodology used in the project must be compared with other available energy sources.

One such source where such data is freely available is https://www.electricitymaps.com/data-portal

Add multiple methods to calculate carbon intensity

See :

• https://www.sciencedirect.com/science/article/pii/S0306261921012149#f0045
• https://www.electricitymaps.com/methodology

Add date time picker in the dashboard

• all plots must display data within that period
• filtering of data has to be done in a smart way (if dates are changes but not the country, no need to reload the file again)
• default range must be 01-01-20 to 31-12-2023 (upto current date, but if data is not available , then show nothing)