nemapi

Access to public National Electricity Market data through nemAPI.

Description & Usage

Currently users can access the following tables within the AEMO MMS Data Model provided at nemweb.

NEM Dispatch Interval Data:

• dispatch_price
• dispatch_regionsum
• dispatch_interconnectorres

NEM Trading Interval Data:

• trading_price
• trading_regionsum
• trading_interconnectorres

There are two main methods for returning data. Firstly a get_['table'] method which will return the most current data back a trailing number of dispatch/trading intervals the user defines. The second is a get_['table']_historical where the user can define a start_date and end_date in addition to selecting over either regionid (price and regionsum tables) or connectorid (interconnectorres tables).

• Note: Each data request is limited to 10,000 rows.

Examples

from nemapi import *

nemapi = nemapi()
df = nemapi.get_dispatch_price(intervals=1)
print('dispatch prices: \n', df)

df1 = nemapi.get_dispatch_regionsum_historical(start_date='2021-01-01 00:30:00', end_date='2021-01-01 12:00:00', regionid='ALL')
print('dispatch prices: \n', df1)

df2 = nemapi.get_trading_interconnectorres_historical(start_date='2021-01-01 00:00:00', end_date='2021-01-02 00:00:00', connectorid='NSW1-QLD1')
print('trading NSW1-QLD1 interconnector historical : \n', df2)

Installation

Use the package manager pip to install nemapi.

pip install nemapi
pip install nemapi --upgrade

Requirements

Python modules required:

• datetime
• requests
• pandas

Compatibility

Python3

Licence

The MIT License (MIT)

Authors

nemmarketapi was written by Jonathon Emerick <jonathon.emerick@uq.net.au>_.