N-1Annual Report - Year 4
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CEM EM&V Year 3 NSEB Direction The Board provided the following direction its Decision on the Year 3 CEM EM&V Report proceeding (M12251): The Board finds that enhancing the CEM and My Energy Insights with features specifically designed for...
AI summary The Nova Scotia Energy Board directed NS Power to enhance the Customer Energy Management (CEM) platform with features for commercial rate classes and to continue reporting on initiatives to boost participation. The Board also emphasized the use of EOne data to address confounding factors and requested a discussion on the practical significance of findings in the Year 4 EM&V Report. NS Power has been unable to implement initiatives due to platform unavailability since April 2025.
EVALUATION OF THE CUSTOMER ENERGY MANAGEMENT PLATFORM, YEAR 4 Final Report June 25, 2026
AI summary This document is the final report evaluating the Customer Energy Management Platform in its fourth year of operation, submitted on June 25, 2026. It provides an overview of the platform's performance and outcomes.
The impact evaluation on a subset of electrically heated customers served to capture savings attributable to the CEM platform. - › High users under the Residential Standard and Residential TOD rate codes achieved statistically significant...
AI summary The impact evaluation on a subset of electrically heated customers shows statistically significant energy and load savings for some residential users under specific rate codes, particularly those on the CPP rate code. However, not all customer subsets showed significant savings, and some results were not statistically significant, indicating the need for further analysis.
Evaluation Scope This assignment consisted of conducting an impact evaluation intended to measure the change in energy usage (kWh), customer load (kW), customer bills, and other cost-effectiveness measures due to the CEM. Per the EM&V Plan...
AI summary The evaluation scope outlines an impact assessment to measure changes in energy usage, customer load, and bills due to the Customer Energy Management (CEM) program, with metrics measured by usage group and rate code as per the EM&V Plan.
2 Evaluation Methodology The EM&V Plan establishes a general methodology for measuring the impacts of the CEM platform. Econoler further refined that methodology before implementing it. The EM&V Plan establishes how impacts will be estimat...
AI summary The EM&V Plan uses a difference-in-difference (DID) approach to evaluate the impact of the Customer Energy Management (CEM) platform by comparing usage data between CEM users and non-users. Due to a cyber incident and lack of AMI data, the evaluation period for Year 4 is limited to January to March 2025, and baseline periods are adjusted accordingly.
2.1 Available Data NS Power provided the following data to calculate CEM impacts: - › CEM web user login information: Number of logins by month and by customer from November 2021 to March 2025. - › Monthly electricity consumption for each...
AI summary NS Power provided data on customer energy usage and program participation to calculate CEM impacts. EfficiencyOne program participation data were used to identify confounding effects in the evaluation of CEM savings. This includes data on login activity, electricity consumption, rate codes, weather, and paperless billing.
Prior to the Year 4 evaluation, whether customers used electrical space heating in the baseline and post period was determined based on the ratio of January to June electricity consumption (minimum 1.2 to be considered electrically heated)...
AI summary The evaluation method for identifying electrically heated customers changed in Year 4 due to the unavailability of June 2025 electricity data. Instead of using historical consumption ratios, NS Power used correlation between electricity use and outdoor temperature. For the Residential Standard rate code, only high-consumption customers were included to minimize the impact of partial electrification.
3.1 Control Matching Algorithm This subsection describes the algorithm used to establish a matched control group for customers on the Residential Standard rate to gather customer load and energy usage metrics. As previously mentioned, only...
AI summary This section describes the control matching algorithm used to create a matched control group for residential customers on the Residential Standard rate. Customers using electrical space heating were considered, and matches were based on consumption similarity within clusters. Econoler set a threshold for acceptable matches, excluding less than 1% of treatment customers.
102953Comments from Green Economics, on behalf of CA
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Summary Nova Scotia Power filed its Year 4 Customer Energy Management (CEM) Evaluation, Measurement and Verification (EM&V) Report, prepared by Econoler, on June 29, 2026. GEEG has reviewed the report against the issues we raised on the Ye...
AI summary Nova Scotia Power submitted its Year 4 CEM EM&V Report, but GEEG found that the April 2025 cybersecurity incident compromised the report's reliability, and some framing choices understate this limitation, despite improvements in addressing prior issues.
The Cyber Incident Severely Limits Report Relevance Because the CEM platform and AMI data have been unavailable since April 2025, every impact metric except paperless billing was evaluated for January–March 2025 only. This limits the relev...
AI summary The cyber incident caused the unavailability of the CEM platform and AMI data since April 2025, limiting the evaluation of impact metrics to January–March 2025. This affects the relevance of the report, as prior evaluations show that savings are positive in winter but negative in summer.
Engagement Has Fallen and the Commercial Evaluation Is Not Informative The engagement picture is weak and, in places, deteriorating. The share of analyzed customers who did not log in during the evaluation period rose year-over-year for ev...
AI summary Engagement with the Customer Energy Management (CEM) program has significantly declined, particularly among commercial customers, leading to weak and inconclusive evaluation results. Only a small percentage of commercial customers logged in during the evaluation period, raising concerns about the reliability of the reported energy savings.