RFI - AI-Based Electricity Demand Forecasting Tender, Canada - 132171791

Procurement Summary

Country: Canada

Summary: RFI - AI-Based Electricity Demand Forecasting

Deadline: 16 Jan 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 132171791

Document Ref. No.: 2025-11185

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

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Tender Details

Project Description:This document is a Request for Information (RFI) aimed at gathering detailed insights on AI-based electricity demand load and supply forecasting solutions to guide a future Request for Proposal (RFP). It outlines vendor requirements, technical capabilities, data needs, integration, compliance, and support expectations.

Please provide clear, comprehensive, and accurate information in each section of the RFI. Responses should focus on your solution-s technical approach, data requirements, integration capabilities, scalability, regulatory compliance, and support services. Where applicable, include examples, references, and supporting documentation.

This RFI is for information-gathering only and does not constitute a commitment to purchase. However, your input will be critical in shaping our procurement strategy and evaluating potential vendors for future engagement.

• Purpose and Scope of RFI: The RFI seeks comprehensive information on AI-based electricity demand load and supply solutions, focusing on technical approaches, data requirements, integration, scalability, regulatory compliance, and support services to inform procurement strategy. It does not guarantee purchase.

• Vendor Background and Experience: Vendors should provide company overview, relevant project experience especially with utilities, client references, team qualifications, and certifications including security and industry standards compliance.

• Technical Solution Details: Vendors must describe forecasting methodologies (machine learning, statistical, hybrid), forecasting horizons (short, mid, long-term), model explainability, handling of renewable generation, and model adaptability including retraining and drift detection.

• Data Requirements and Quality: The RFI requests detailed data input types, history, granularity, volume, formats, data quality processes including cleansing and anomaly detection, external data use, and update frequency for calibration and...
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More Details
Bid Classification: Services
Closing date01-16-2026

Documents

 Tender Notice