Topic:"Renewable Energy" in M13014

CI C0068719 - IT - Distributed Intelligence Apps (NSEB M13014) NSPI Responses to NSEB Information Requests

AI summary The document pertains to NSPI's responses to information requests from NSEB regarding Distributed Intelligence Apps, as part of the regulatory proceeding identified as NSEB M13014.

CI C0068719 - IT - Distributed Intelligence Apps (NSEB M13014) NSPI Responses to NSEB Information Requests

AI summary This document contains NSPI's responses to information requests from the NSEB regarding Distributed Intelligence Apps as part of the proceeding M13014.

Benefits - Opens the door to localized EV charging control if tied into DERMS - Could realize customer benefit during pilot using existing notification systems - Visibility into real-time/long-term charging patterns - Data is likely to be...

AI summary The document outlines potential benefits of a system that enables localized EV charging control when integrated with DERMS, highlights the possibility of customer benefits during a pilot using existing notification systems, and notes the potential for more accurate data compared to Bidgely Analytics through real-time and long-term charging pattern visibility.

Challenges • No immediate use/benefit if not tied into DERMS Future State : DI events trigger EV charges to stop/start as needed, leading to more automated system planning and happier customers

AI summary The text highlights the challenge of not realizing immediate benefits from DERMS unless integrated. It envisions a future where DI events automatically manage EV charging, improving system planning and customer satisfaction.

Solar Awareness Provides near-real-time disaggregation information for solar generation.

AI summary The Solar Awareness initiative provides near-real-time disaggregation information for solar generation, enabling better monitoring and management of solar energy production.

Benefits - Opens the door to localized solar control if tied into DERMS o Better system planning - Visibility into real-time/long-term generation patterns - Data is likely to be more accurate than Bidgely Analytics (fits disaggregation mod...

AI summary The text discusses benefits of advanced systems, including localized solar control through DERMS, improved system planning, visibility into generation patterns, and more accurate data compared to Bidgely Analytics.

DER Readiness Back-office analytics that use data from multiple DI apps to provide dashboards that estimate how ready secondary infrastructure is for new EV, solar and other DER connections.

AI summary The document discusses back-office analytics that use data from multiple DI apps to provide dashboards estimating the readiness of secondary infrastructure for new EV, solar, and other DER connections.

Solar Awareness Prototype » Function: Provides near-real-time (e.g. 5-minute timestep) disaggregation information for solar generation

AI summary The Solar Awareness prototype provides near-real-time disaggregation information for solar generation, with a 5-minute timestep, to enhance monitoring and management of solar resources.

» Outputs: Disaggregated solar kWh generation at regular timesteps CI C0068719 NSEB IR-2 Attachment 3 Page 37 of 42

AI summary The document provides disaggregated solar kWh generation data at regular timesteps, likely for analysis or regulatory review purposes.

Description - » More than 50% of PG&E's service territory is now classified as high fire-risk areas. - » PG&E has started a DI pilot deployment of Itron Riva meters. which are fully backwards compatible with the existing Itron GenX network...

AI summary PG&E has implemented a DI pilot using Itron Riva meters, which are compatible with existing infrastructure, and tested three DI applications. The pilot observed 1.6 million meter events, aiding in early detection of grid failures, improved mapping, and reduced wildfire risk.

NON-CONFIDENTIAL - 1 The information reviewed by NS Power identified the importance of validating the benefits of the - 2 DI App technology within each utility's operating environment prior to broader deployment. These - 3 findings contrib...

AI summary NS Power identified the need to validate the benefits of DI App technology within each utility's operating environment before broader deployment, leading to a decision to pursue a pilot approach.

CI C0068719 - IT - Distributed Intelligence Apps (NSEB M13014) NSPI Responses to NSEB Information Requests 1 Request IR-13: Advanced Temperature Monitoring Safety-Related Signal Detection Uses high-resolution temperature readings and analy...

AI summary This document discusses NSPI's response to an information request regarding the use of Distributed Intelligence (DI) Apps for advanced temperature monitoring. The project aims to improve the detection of high-temperature conditions using AMI data and analytics, potentially enhancing field response efficiency and safety.

CI C0068719 - IT - Distributed Intelligence Apps - $3,165,790 This project was originally included in the 2026 Annual Capital Expenditure (ACE) Plan at a cost of $2,637,356. The estimate subsequently increased by $528,434 following additio...

AI summary NS Power is requesting $3,165,790 for a pilot project to evaluate Distributed Intelligence (DI) Apps, which aim to improve operational efficiency and safety. The project is compatible with existing Advanced Metering Infrastructure (AMI) and supported by funding from Natural Resources Canada. The Board approves the request, citing its potential to enhance grid reliability and support provincial energy goals.

NSEB APPROVAL SHEET IT - Distributed Intelligence Apps Project Title: CI Number: C0068719 Date: August 4, 2026 Expenditure Profile Type of Filing Year Budget Amount Project Estimate Capital Project Authorization Unforeseen and Unbudgeted (...

AI summary The document outlines the expenditure profile for the IT - Distributed Intelligence Apps Project, including budget amounts, project estimates, and authorization types for various years from 2025 to 2028, with total figures provided.