This Solicitation opportunity from Government of Canada was posted on June 4, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Environment and Protected Areas - Request for Proposal - Water Demand Forecasting Model for the South Saskatchewan River Basin

Closed

AB-2026-04098International

Submission Closed06/18/2026, 03:00:00 PM UTC

Contract Overview

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

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NAICS: 541690

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AI Contract Overview

The Government of Alberta, through Environment and Protected Areas, is soliciting proposals to develop a comprehensive, basin-wide Water Demand Forecasting Model for the South Saskatchewan River Basin using the GoldSim platform. The model must be a hybrid, modular system capable of simulating and forecasting water demand across multiple sectors including municipal, irrigation, stock watering, industrial, and commercial uses, with the goal of improving water availability planning, especially during droughts and under climate change scenarios. Phase I research confirmed that no single modeling approach could address the basin’s complexity, leading to the adoption of a flexible framework that integrates diverse methodologies tailored to each sector’s unique characteristics. Proposals must incorporate Machine Learning and Artificial Intelligence techniques to build, train, and rigorously test at least one predictive model per sector, leveraging available datasets to ensure accuracy and adaptability to evolving conditions. The project is issued under solicitation number AB-2026-04098 with a response deadline of June 18, 2026, and falls under NAICS code 541690. The contracting authority is Amr Gharib, reachable via [email hidden], and work is to be performed within Alberta. The model must align precisely with the Recommended Model Framework outlined in Appendix B, Subsection 3, and deliverables must support operational decision-making and long-term water strategy development by integrating climate projections and other drivers of future water demand. The solution must be scalable, transparent, and capable of updating as new data becomes available, ensuring sustained relevance for water resource management across the South Saskatchewan River Basin.

General Info

Develop integrated Water Demand Forecasting Model for South Saskatchewan Basin using AI by June 2026.

Agency

Government of Canada → Environment and Protected Areas

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

Alberta, CAN

Set-Aside

NONE

Documents

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Timeline

PhaseClosed

PostedJun 4

Solicitation

Response DeadlineJun 18

Deadline has passed

Submission Closed

06/18/2026, 03:00:00 PM UTC

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Organization & Contact Information

AgencyGovernment of Canada → Environment and Protected Areas

Contacts1 person available

OfficeN/A

Organization / Agency

Government of Canada → Environment and Protected Areas

Office AddressN/A

Contacts

Amr GharibContracting Authority

contact@example.gov

Full Description

This project is to develop an integrated watershed-scale Water Demand Forecasting Model (WDFM) for the South Saskatchewan River Basin (SSRB) of Alberta. The WDFM will support Environment and Protected Areas efforts to enhance water availability for Albertans by accurately simulating and forecasting water demands for and across various sectors. The model will facilitate timely demand estimation for operational planning, particularly during drought conditions, and will inform long-term strategies through the incorporation of climate change impact scenarios and other factors influencing water demand and usage. The model will be a basin-wide, multi-sector water demand forecasting model for the region. Phase I of the project involved a comprehensive review and evaluation of alternative approaches for WDFM development. The assessment concluded that no single model could fully address the complex water demand forecasting needs of the SSRB. Consequently, a hybrid approach, leveraging the strengths of multiple modeling techniques, was identified as the most effective solution. The Recommended Model Framework for the WDFM is thus designed to be modular and flexible, enabling the incorporation of diverse assumptions and scenarios to generate sector-specific water demand estimates using the most appropriate methodology for each sector. This Request for Proposals (RFP) seeks the development of the SSRB WDFM utilizing the GoldSim platform, in accordance with the Recommended Model Framework detailed in Appendix B, Subsection 3. This project will explore the application of Machine Learning (ML) and Artificial Intelligence (AI) techniques to build predictive water demand models for key sectors, including, but not limited to, municipal, irrigation, stock watering, industrial, and commercial uses. The scope of work encompasses the building, training, and rigorous testing of at least one ML/AI model for each identified water use sector, drawing upon available datasets.

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