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Energy Data Analytics & Forecasting Modeling

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 of advanced forecasting models leveraging natural gas and electricity consumption and production data to inform long-term energy planning, grid reliability assessments, and energy policy formulation. The work is classified under NAICS code 541620, indicating it involves scientific and technical consulting services focused on analytical modeling, and is structured as a subcontract under the Energy Commission of California. Performance of the work is designated to occur in Sacramento, aligning with state-level energy leadership and oversight. The project objectives center on enhancing predictive accuracy for energy demand and supply patterns, supporting strategic decisions that ensure system resilience and regulatory compliance. Although no solicitation number or point of contact is provided, the contract was posted on July 7, 2026, suggesting it is part of a forward-looking initiative to modernize California’s energy forecasting capabilities through data-driven modeling.

General Info

Develop advanced energy forecasting models for California grid reliability and policy using consumption and production data.

Agency

California → Energy Commission

NAICS

541620 - Environmental Consulting ServicesView NAICS

Place of Performance

Sacramento, CA

Set-Aside

NONE

Documents

This scope was carved out of Approval of Natural Gas Data Collection Regulations.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

AI Contract Breakdown

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Timeline

Posted

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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Development of forecasting models using natural gas and electricity data to support long-term energy planning, reliability assessments, and policy development.

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