IV.3.2 Commercial The Commercial regression model used for Phases 1, 2, and 3 followed the same fixed effects regression framework as the Residential model, less the control participants due to poor control group match results. In practice...
AI summary The Commercial regression model used in Phases 1, 2, and 3 faced challenges due to heterogeneity in the commercial rate class, leading to instability in the fixed effects regression. Modifications, such as switching to a mixed effects regression and using robust standard error calibration, were implemented to improve model robustness.
pilot programs, so components of the programs can change. The marketing timelines of both pilot programs differ, and both NS Power and E1's marketing teams are working collaboratively to grow cross-promotional efforts more holistically. •...
AI summary NS Power and E1 are collaborating on demand response (DR) initiatives, including the deployment of advanced building management systems. NS Power is evaluating Time-Varying Pricing (TVP) rate structures to manage peak loads, while E1 leads DR program efforts as the DSM Administrator in Nova Scotia.
Stakeholder Comment NS Power Response peak demand for commercial and industrial (C&I) customers. These efforts are akin to BC Hydro's DR programs, which incentivize businesses to shift their electricity use during peak periods. • The Compa...
AI summary The stakeholder highlights NS Power's efforts to manage peak demand for commercial and industrial customers through demand response (DR) programs, similar to BC Hydro's initiatives. NS Power is assessing its DR Program for the 2026-2030 DSM Plan period with the DSM Advisory Group, emphasizing a commitment to advancing DR solutions.