NEMDataTools documentation

NEMDataTools is an MIT-licensed Python package for accessing and preprocessing Australian Energy Market Operator (AEMO) data for the National Electricity Market (NEM). One nemdatatools.fetch() call serves a table over any date range by stitching AEMO’s three publication tiers — the MMSDM monthly archive, Reports ARCHIVE daily bundles, and Reports CURRENT files — with known availability gaps failing loudly.

Overview

• NEMDataTools
  • How it works
  • Installation
  • Quick start
  • Curated tables
  • Caching
  • Data attribution
  • License

User Guide

• Data sources and tier stitching
  • The three publication tiers
  • How a fetch is routed
  • Discovery, not construction
  • Failing loudly
  • The one exception: price-and-demand CSVs
• Tables: curated catalog and escape hatch
  • Curated tables
  • Inspecting availability
  • Region filtering
  • Escape hatch: any MMSDM table
  • Aggregated price and demand
• Time conventions and resampling
  • NEM time
  • Interval-ending timestamps
  • Grouping multi-entity frames
  • Aggregation functions
  • The NEM trading day
• Caching
  • Layout
  • Custom cache location
  • Politeness

API Reference

• API Reference
  • Fetching data
  • Discovery
  • Transforms
  • Caching
  • Errors

Development

• Contributing to NEMDataTools