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A package for downloading and handling forecasts for the National Electricity Market (NEM) from the Australian Energy Market Operator (AEMO).

Project description

nemseer

PyPI version Continuous Integration and Deployment Documentation Status codecov Code style: black

A package for downloading and handling forecasts for the National Electricity Market (NEM) from the Australian Energy Market Operator (AEMO).

Work in Progress

This package is a work in progress. For a high-level overview of development, check out the roadmap.

Installation

pip install nemseer

Overview

nemseer allows you to access AEMO pre-dispatch and Projected Assessment of System Adequacy (PASA) forecast data.

forecast_overview

Source: Reserve services in the National Electricity Market, AEMC, 2021

Specifically, nemseer enables you to download:

  1. 5-minute pre-dispatch (P5MIN: Tables and Descriptions)
  2. Pre-dispatch (PREDISPATCH: Tables and Descriptions)
  3. Pre-dispatch Projected Assessment of System Adequacy (PDPASA: Tables and Descriptions)
  4. Short Term Projected Assessment of System Adequacy (STPASA: Tables and Descriptions)
  5. Medium Term Projected Assessment of System Adequacy (MTPASA: Tables and Descriptions)

Another helpful reference for PASA information is AEMO's Reliability Standard Implementation Guidelines.

ST PASA Replacement Project

Note that the methodologies for PD PASA and ST PASA are being reviewed. In particular, the ST PASA Replacement project will combine PD PASA and ST PASA into ST PASA. For more detail, refer to the final determination of the rule change and the AEMO ST PASA Replacement Project home page.

Usage

Quick start

Check out the Quick Start section in nemseer's documentation.

Contributing

Interested in contributing? Check out the contributing guidelines, which also includes steps to install nemseer for development.

Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

nemseer was created by Abhijith Prakash. It is licensed under the terms of the BSD 3-Clause license.

Credits

nemseer was created with cookiecutter and the py-pkgs-cookiecutter template.

Project details


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