Topic/Matter Intersection

Topic:"Energy Management Information Systems" in M13014

Matter: Nova Scotia Power Inc. - CI C0068719 - IT - Distributed Intelligence Apps - $3,165,790
4 passages 3 documents

Energy Management Information Systems across all matters →

N-1CI C0068719 - IT - Distributed Intelligence Apps - Application - Redacted 2 passages
DESCRIPTION: p. p. 7
DESCRIPTION: Distributed Intelligence (DI) refers to the use of software applications (apps) deployed on field devices to collect highresolution operational data and perform localized analysis using data collected at the grid-edge, where t...

AI summary Distributed Intelligence (DI) involves deploying software apps on field devices to collect and analyze grid-edge data, improving grid reliability and situational awareness. The project will pilot DI apps on a subset of meters, assessing their efficacy before potential broader deployment. The initiative is supported by federal funding and complies with measurement regulations.

Why do this project this way? p. p. 7
Why do this project this way? The project focuses on deploying and evaluating selected distributed intelligence applications at the meter level, while the foundational DI Iron Apps Platform will be fully implemented to enable sustained ope...

AI summary The project aims to deploy and evaluate selected distributed intelligence (DI) applications at the meter level, with the DI Iron Apps Platform fully implemented to support ongoing evaluation. Technologies will be installed following NS Power's cybersecurity controls, and apps will be selected based on their potential to improve grid accuracy, safety, and situational awareness. Testing will occur in Q3 2026, with final app selection and evaluation criteria confirmed during this phase.

N-2NSPI (NSEB) RIR 1 to 15 - Redacted 1 passage
Benefits p. p. 30
Benefits - Low-effort solution to evaluate ATVM/ATLM data short-term without a robust ADMS integration. - Uses machine-learning algorithms to forecast future states

AI summary The benefits section highlights a low-effort solution for evaluating ATVM/ATLM data in the short term without requiring a robust ADMS integration, and the use of machine-learning algorithms to forecast future states.

103391NSEB (NS Power) IR 1 to 15 1 passage
Request IR-13:
Request IR-13: In "Why do this project this way?," NS Power noted that: At this stage, the following apps have been identified for potential testing based on the criteria above: - Location Awareness: autonomously determines which phase, fe...

AI summary NS Power is seeking information on the cost structure, benefits, and necessity of various Distribution Intelligence (DI) Apps, including Location Awareness, Meter Bypass Detection, and Advanced Outage Analytics, which are being considered for testing. The request includes inquiries about whether similar functions can be achieved through existing alternatives.

Disclaimer: These summaries were generated by AI from the filings they describe. We take care to make them accurate, but errors are possible - and they aren't advice. Only the filings themselves are the record: if you're relying on something here, confirm it against the source documents or the Nova Scotia Energy Board's own record. Full disclaimer →