PG&E Planned Distribution Investments

Projects PG&E proposes to meet distribution grid needs, weekly: substation, need addressed, DER deferrability, MW, in-service date and cost.

About this data

Each row is a project PG&E proposes to meet a grid need, with the substation and bank, the need it addresses, whether distributed resources could defer it, the grid need in MW, the in-service date and cost. Each weekly snapshot is a full version of the plan.

What people use it for

  • See what PG&E plans to build and why
  • Find investments that DER could defer
  • Compare planned cost and timing

Where to use it

In Ask the Grid

Ask about it, see it live

The grid agent reads it to answer questions about CAISO. 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 PG&E Planned Distribution Investments data?
Ask the Grid has it, from PG&E Grid Resource Integration Portal. You can browse every row in Ask the Grid Data, query it with SQL or the Ask the Grid API, reach it from an AI assistant over MCP, or ask the grid agent about it in plain English.
Where does PG&E Planned Distribution Investments come from?
It comes from PG&E Grid Resource Integration Portal. This page links to the original publication, so any value can be checked against it.
How do I download or query PG&E Planned Distribution Investments?
Open the pge_grip.planned_investments table in Ask the Grid Data to browse every row and run SQL against it, call it from code through the Ask the Grid API, or connect an MCP client. Full history can be delivered on a schedule to Snowflake, Databricks or your own storage.
Can I ask questions about PG&E Planned Distribution Investments in plain English?
Yes. The grid agent reads this data when a question needs it, for example "what distribution projects is pg&e planning", and every answer names the dataset it read.