Topic:"Performance Monitoring" in M12932

Other Board Directives for 2024/25 As part of the Board's Decision in M11822 (2024/25 TVP Application), NS Power will also: • Report on the Year Four findings and file the annual EM&V Report no later than 31 Jul 2025 As part of the Board's...

AI summary NS Power is required to report on Year Four findings and file an annual EM&V Report by July 31, 2025, as per the Board's Decision in M11822. Additionally, NS Power must analyze system margin forecasts and CPP events, review marketing efforts, assess performance of General Service Class customers, and potentially revise incentive structures for commercial TVP tariffs based on stakeholder feedback.

IV.1.2 E1 Program Balancing (Phase 1) No balancing for E1 program effects was completed. As a result, the effects associated with E1 programs were not controlled for and could influence TVP EM&V results. Subsequent evaluations (i.e. Phase...

AI summary No balancing for E1 program effects was completed in Phase 1, which may have influenced TVP EM&V results. Balancing was implemented in subsequent phases starting from Phase 2.

Definitions Adjusted Net Load The hourly net system requirement (MW) less all wind generation (MW) IV.1 Control Group Selection 119 IV.1.1 CPP (Phase 1) 119 IV.1.2 E1 Program Balancing (Phase : 1) IV.1.3 Neighbourhood Criteria & Loa ad Sim...

AI summary The document provides definitions and outlines sections related to control group selection, heating classification, regression models, and validation of mixed effect regression. It also includes attachments discussing demand response overlap, system margin, and performance assessments.

Attachment V: Validation of Mixed Effects Regression [Control Group Selection)](#page-22-1) relative to residential customers. As such, the methodological choice to use a fixed effects regression model for commercial customers, like reside...

AI summary This section discusses the validation of a mixed effects regression model used in the Phase 4 evaluation to account for the heterogeneous nature of commercial load and baseloads. It contrasts this approach with the fixed effects model, which was deemed unsuitable for commercial customers due to the risk of significant Type II error.