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Machine Learning Software Development for Grid Analytics

Active

State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The contract entails the development and validation of machine learning algorithms designed to estimate line impedance and distribution capacity for electrical grids using data collected from smart meters. The work includes algorithm design, rigorous testing, and eventual deployment in real-world grid analytics environments to enhance grid efficiency, reliability, and capacity planning. The project is positioned as a subcontract under the Energy Commission of California, with performance based in San Francisco, specifically at the 94102 zip code. The NAICS code 541512 indicates this is a custom computer programming service focused on scientific and technical consulting. The contract was posted on July 17, 2026, and while no solicitation number or set-aside details are provided, the emphasis is on delivering advanced analytical software capable of transforming meter-level data into actionable grid insights.

General Info

Develop machine learning algorithms to estimate grid impedance and capacity using smart meter data in San Francisco.

Agency

California → Energy Commission

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

San Francisco, CA, 94102

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PostedJul 17

subcontract

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Organization & Contact Information

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AgencyCalifornia → Energy Commission

ContactsNo contacts available

OfficeN/A

Organization / Agency

California → Energy Commission

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop and validate ML algorithms to estimate line impedance and distribution capacity using smart meter data, including testing and deployment.

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