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CENACE Settled Demand by Load Zone

CENACE's settled hourly demand by load zone since 2016 across every Mexican system, from metered withdrawals, published about 14 days late.

About this data

Each row is one hour of settled demand in a CENACE load zone, taken from metered withdrawals: four zones in Baja California, three in Baja California Sur and the many zones of the mainland system. CENACE publishes it daily about 14 days late and then re-settles it. It gives the most local view of Mexican electricity demand.

What people use it for

  • See demand in individual Mexican load zones
  • Compare Baja California zones
  • Study local demand patterns across Mexico

Where to use it

In Ask the Grid

Ask about it, see it live

The grid agent reads it to answer questions in every market it covers. Every answer names the data it read and links back here.

In ATG Data

Build with the full table

Schema, full history, coverage and query rules live in Data, where you can browse every row, run SQL and connect it to your own code.

Plans and access

Latest data

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Questions

Which data provider has CENACE Settled Demand by Load Zone data?
Ask the Grid has it, from CENACE Market Information System (public area). You can browse every row in Ask the Grid Data, query it with SQL or the Ask the Grid API, or ask the grid agent about it in plain English.
Where does CENACE Settled Demand by Load Zone come from?
It comes from CENACE Market Information System (public area). This page links to the original publication, so any value can be checked against it.
How do I download or query CENACE Settled Demand by Load Zone?
Open the cenace.demand_by_zone table in Ask the Grid Data to browse every row and run SQL against it, or call it from code through the Ask the Grid API. Full history can be delivered on a schedule to Snowflake, Databricks or your own storage.
Can I ask questions about CENACE Settled Demand by Load Zone in plain English?
Yes. The grid agent reads this data when a question needs it, for example "what is demand by load zone in mexico", and every answer names the dataset it read.