pyngeso

Simple python wrapper for the National Energy System Operator Portal.

Getting started

 Example usage

from pyngeso import NgEso

resource = "historic-day-ahead-demand-forecast"
date_col = "TARGETDATE"
start_date = "2018-01-01"
end_date = "2018-01-01"

client = NgEso(resource)
# returns content of response
r: bytes = client.query(date_col=date_col, start_date=start_date, end_date=end_date)

Tested reports

Queryable via NG's api

• dx-eac-eso-buy-orders
• dx-eac-eso-results-summary
• dx-eac-eso-sell-orders
• br-eac-eso-buy-orders
• br-eac-eso-results-by-units
• br-eac-eso-results-summary
• br-eac-eso-sell-orders
• demand-data-update
• dc-volume-forecast
• transmission-entry-capacity-tec-register

Download of files

• historic-generation-mix