Topic:"Rates And Money" in M12861

5.6 4.9 6.2 5.3 66 Other Total 26.4 25.8 18.8 24.4 27.7 27.7 32.7 38.4 33.0 23.7 22.0 27.2 328 Total Sales 1339.5 1217.9 1186.4 964.7 839.6 771.8 856.5 845.1 768.0 860.3 1001.4 1255.0 11,906 Transmission Losses 43.3 41.8 39.1 26.8 22.4 19....

AI summary The text presents a table with data on sales, losses, and NSR (Net Sales Revenue) over several years, including transmission and distribution losses, and their percentages relative to NSR. The data spans from 2013 to 2026, with figures for various years and totals. The table is part of a load forecast report, and some information has been redacted.

NON-CONFIDENTIAL 1 Request IR-1: 14 (d) Please provide a full list of all the industries included in manufacturing GDP and 15 employment. 16 17 (e) Figure 20: Industrial Economic Drivers presents 2025 Manufacturing GDP (mil 18 $2017) as 3,...

AI summary The text requests a full list of industries included in manufacturing GDP and employment, and asks for an explanation of the discrepancy between Figure 20's 2025 Manufacturing GDP value of 3,359 (in millions of 2017 dollars) and the Statistics Canada data, which reports 3,340.70 (in millions of 2017 dollars) for Nova Scotia's manufacturing GDP.

NON-CONFIDENTIAL 1 Request IR-3: 2 3 Refer to M12861, Exhibit N-1, the Report Section 4.4, Economic Information, page 29 of 105, 4 Lines 9-21 and respond to the following: 5 6 (a) Please provide the calculation used to replace Signal49's a...

AI summary The text refers to a regulatory proceeding where NS Power is asked to explain the calculation used to replace Signal49's average 24 percent year-over-year decline with an assumed 10 percent decline, identify developments totaling 40-50,000 units, and explain if recent market conditions affecting housing completions were considered. The response directs to Synapse IR-1 and IR-5 for calculation details and provides a table outlining the developments.

REDACTED 2026 Load Forecast Report Synapse IR-1 Attachment 1 Page 34 of 196 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 2024 2025 billed 2025 accrued 2026 2022-01-14 2022 2022 1 1 14 14 21 22 5 5 1.7 1.9 1.9 1.4 1.5 1544.2 17.1 3.5 -0...

AI summary This document presents a table with various numerical data points spanning years 2023 to 2026, including values related to load forecasts, billed and accrued amounts, and other metrics. The data appears to be part of a larger analysis or report related to energy load forecasting.

2026 Load Forecast Report (NSEB M12861) NSPI Responses to Synapse Energy Economics Inc. Information Requests 1 Request IR-14: 2 3 Price Data (Section 4.6, p. 56-57) 4 5 (a) Why are electricity prices forecast to increase by 5 percent in 20...

AI summary NSPI responds to Synapse Energy Economics Inc.'s request regarding the forecasted increase in electricity prices by 5 percent in 2028 and 2029. The increase is based on NS Power's internal forecasting process, which considers various inputs such as electric sales, fuel costs, operating expenses, and capital investment. The forecast is subject to change and does not represent a future rate filing.

EXPERT TESTIMONY - 2008 South Carolina PSC Docket No. 2007-358-E, surrebuttal testimony on behalf of Environmental Defense, the South Carolina Coastal Conservation League, Southern Alliance for Clean Energy and the Southern Environmental L...

AI summary The text outlines expert testimony from various regulatory proceedings across multiple states, focusing on energy efficiency cost recovery mechanisms, integrated resource plans, and the adequacy of energy efficiency considerations by utility companies. Key entities involved include environmental organizations and the Southern Alliance for Clean Energy.

Request IR-14: - Price Data (Section 4.6, p. 56-57) - a. Why are electricity prices forecast to increase by 5 percent in 2028 and 2029? Please describe NS Power's internal forecasting process.

AI summary Request IR-14 asks NS Power to explain why electricity prices are forecast to increase by 5 percent in 2028 and 2029, and to describe their internal forecasting process.