Page 28 of 94 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2025 Load Forecast Report Redacted
AI summary The 2025 Load Forecast Report has been redacted, with confidential information removed. The document provides an analysis of expected electricity demand in Nova Scotia for the year 2025.
1 Figure 18: Industrial Economic Drivers Manufacturing Manufacturing Year GDP % Change Employment % Change (mil $2017) (000) 2015 2,740 29 2016 2,762 0.8 29 1.2 2017 2,794 1.2 30 5.1 2018 2,896 3.6 33 7.6 2019 3,093 6.8 34 2.3 2020 2,918 -...
AI summary The document presents a table showing the industrial economic drivers in Nova Scotia, specifically manufacturing GDP and employment from 2015 to 2035. It also mentions that major Canadian banks provide short-term forecasts for key economic indicators, with the Conference Board of Canada's forecast referenced.
and actual average use derived from NS Power billing data. 16 17 In the case of end uses where there is little historical activity or where future behaviour is expected 18 to vary significantly from the existing data set due to targeted pr...
AI summary The text discusses the methodology used for modeling end uses with limited historical data or significant future behavior changes, such as EVs and rooftop solar PV. It references economic forecasts from major banks for the 2025 Load Forecast Report.
13,783 70 10 16 2028 11,325 75 9 17 17,825 97 13 22 2029 16,860 108 14 24 23,360 129 18 29 2030 24,612 148 19 33 31,112 170 23 38 2031 35,673 200 27 45 42,173 221 31 50 2032 51,657 270 38 60 58,157 292 41 65 2033 74,964 368 53 81 81,464 39...
AI summary The 2025 Load Forecast Report provides projected load data for various years, including details on demand, capacity, and related metrics, though much of the content is redacted due to confidentiality.
Page 47 of 94 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2025 Load Forecast Report Redacted 1 The end-use intensities for the commercial models are done on a per square metre basis, rather 2 than per customer. The forecasts for the end-us...
AI summary The document discusses the 2025 Load Forecast Report, focusing on end-use intensities for commercial models measured per square metre. Key end uses include heating, cooling, ventilation, electric water heaters, cooking, refrigeration, lighting, office equipment, and miscellaneous loads. Historical and projected data is presented in figures and attachments.
Page 49 of 94 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2025 Load Forecast Report Redacted 1 Forecasts by class (including new projects in the Large General and Large Industrial classes) are 2 shown in Figure 37. 3 4 Figure 37: Commercia...
AI summary The 2025 Load Forecast Report provides electrification forecasts by class, including new projects in the Large General and Large Industrial classes, with data showing increasing energy consumption trends from 2025 to 2035.
of 94 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2025 Load Forecast Report Redacted
AI summary The 2025 Load Forecast Report provides an analysis of projected electricity demand for the year 2025, though specific details have been redacted due to confidentiality.
2,213 -2.0% 113 -24.2% 764 11,403 -1.8% 2027 5,159 -1.7% 2,937 -4.2% 2,151 -2.8% 202 79.7% 743 11,193 -1.8% 2028 5,170 0.2% 2,934 -0.1% 2,176 1.1% 202 -0.1% 745 11,226 0.3% 2029 5,125 -0.9% 2,915 -0.6% 2,178 0.1% 202 -0.1% 739 11,159 -0.6%...
AI summary The table presents a series of numerical values with percentage changes, likely representing energy demand or related metrics over the years 2025 to 2035. The data includes values for different categories, with the last column showing total demand and its percentage change.
Page 3 of 3 Appendix A – Forecast Values Table A2: Coincident Peak Demand - 2025 NS Power Forecast Peak Forecast
AI summary The text presents a table from Appendix A of a document, focusing on coincident peak demand forecasts for 2025 by NS Power. It provides forecast values for peak demand, which are essential for planning and resource allocation in the electricity sector.
INFORMATION REMOVED) 2025 Load Forecast Report Appendix B Page 11 of 34 Variable Coefficient StdErr T-Stat P-Value MStructSmlGen.WtXHeat 0.834 0.036 23.354 0.00% MStructSmlGen.WtXCool 0.331 0.043 7.704 0.00% MStructSmlGen.WtXOther 0.745 0....
AI summary The text presents statistical data from a 2025 Load Forecast Report, including coefficients, standard errors, t-statistics, and p-values for various variables related to load forecasting. It also references model statistics for a small general model.
ION REMOVED) 2025 Load Forecast Report Appendix B Page 29 of 34 Combined Model Statistics Model Statistics Iterations 1 Adjusted Observations 120 Deg. of Freedom for Error 110 R-Squared 0.852 Adjusted R-Squared 0.840 AIC 18.648 BIC 18.880...
AI summary This section presents statistical data from a load forecasting model, including metrics such as R-squared, adjusted R-squared, AIC, BIC, and others. The model statistics indicate a high level of explanatory power, with an R-squared value of 0.852, and the data includes information on the number of iterations, observations, and error measures.
model variables, the heating and cooling load requirements are normalized for the number of days and hours in the month by expressing heating and cooling load requirements on an average MW load basis: HeatAvgMWm = HeatLoadm/ Daysm /24 REDA...
AI summary The text describes a method for calculating heating and cooling load requirements on an average MW load basis, and how peak-day weather conditions are integrated into the model. It also explains the calculation of the peak model base load variable, which captures non-weather sensitive load components.
(CONFIDENTIAL INFORMATION REMOVED) 2025 Load Forecast Report Synapse IR-15 Attachment 1 Page 1 of 1
AI summary The document is a confidential page from the 2025 Load Forecast Report, specifically Attachment 1 from Synapse IR-15. It appears to be part of a regulatory proceeding, though the content is redacted and no specific details are provided.
2025 Load Forecast Report Synapse IR-16 Attachment 1 Page 1 of 1 Previous Coincidence Factor
AI summary The text references the Previous Coincidence Factor from the 2025 Load Forecast Report, indicating a focus on load forecasting and related metrics.
2022 System Load Commercial Production at Peak Monthly Coincidence Factor Site1 Site2 Site3 Site4 Site5 Site6 Month Monthly System Peak Site1 Site2 Site3 Site4 Site5 Site6 Max Production per Site 47 47 10 30 67 20 Avg Adjusted to Adjusted...
AI summary The table presents system load and commercial production data for 2022, including monthly system peak, production at peak, coincidence factors, and adjusted coincidence factors for multiple sites. The data shows varying levels of production and coincidence factors across different months and sites, with the peak load occurring at HE15 in 2022.
12 1973 0 0 0 0 0 0 0% 0% 0% 0% 0% 0% 0% 0% 0% 2024 Coincidence Factor
AI summary The text presents a row of data with zeros across multiple columns, followed by a heading '2024 Coincidence Factor'. The data row appears to be part of a table, but no specific information or context is provided to interpret the meaning of the values or the heading.
2024 System Load Commercial Production at Peak Monthly Coincidence Factor Site1 Site2 Site3 Site4 Site5 Site6 Month Monthly System Peak Site1 Site2 Site3 Site4 Site5 Site6 Max Production per Site 46 47 10 30 67 20 Avg Adjusted to 12 percen...
AI summary The document presents data on 2024 system load and commercial production at peak for multiple sites. It includes monthly system peak values, production levels, and coincidence factors for each site. The data reveals varying levels of production and coincidence factors across the sites, with some months showing higher production and coincidence factors than others.
) 2025 Load Forecast Report (NSEB M12349) NSPI Responses to Synapse Information Requests NON-CONFIDENTIAL 1 (d) The P10/P90 probability analysis is not currently being used in decision making regarding 2 system planning. Date Filed: August...
AI summary The 2025 Load Forecast Report (NSEB M12349) provides a probabilistic analysis of electricity sales, including P10, P50, and P90 scenarios. NSPI notes that the P10/P90 probability analysis is not currently used in system planning decisions.
2025 Load Forecast Report Synapse IR-23 Attachment 1 Page 1 of 3 Sensitivity: 2026 Peak Sensitivity: 2026 No DSM Total Sales Sensitivity: 2035 No DSM Total Sales Assumptions ContributionToVariance RankCorrelation Assumptions ContributionTo...
AI summary The text presents sensitivity analysis from the 2025 Load Forecast Report, focusing on factors like temperature, HDD, CDD, and economics, and their impact on peak load and total sales projections for 2026 and 2035. The analysis includes correlation rankings for these variables.
Monthly Monthly Peak Day Month Month # HDD 18 Std Dev CDD 15 Std Dev AvgTemp Std Dev Base Wind Std Dev 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 January 1 638.68 55.07 -15.00 2.86 1...
AI summary The text presents a table containing monthly data, including heating degree days (HDD), cooling degree days (CDD), average temperatures, and peak day demand values for the years 2005 to 2024. This data is likely used for forecasting and planning purposes related to energy demand.
2025 Load Forecast Report (NSEB M12349) NSPI Responses to Synapse Information Requests NON-CONFIDENTIAL 1 Request IR-25: 2 3 Appendix B: Peak Forecast 4 5 (a) Please provide in electronic spreadsheet format the data and the statistical mod...
AI summary NSPI responded to Synapse's information requests regarding the 2025 Load Forecast Report. They provided details on the peak forecast model, including new binary variables and a first-order moving average variable added to improve model fit.
2025 Load Forecast Report (NSEB M12349) NSPI Responses to Synapse Information Requests NON-CONFIDENTIAL 𝑠𝑠ℎ𝑎𝑎𝑎𝑎𝑎𝑎𝑥𝑥 𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎 𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖𝑖2015 × ( ) 𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑥𝑥 1 𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝑥𝑥 = 𝑠𝑠ℎ𝑎𝑎𝑎𝑎𝑎𝑎2015 ( ) 𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒...
AI summary The document discusses NSPI's responses to Synapse's information requests regarding the 2025 Load Forecast Report. It mentions that heat pump water heaters are not directly incorporated into the forecast but are expected to improve water heater efficiency. Data is provided by Itron, and NS Power does not estimate peak load impacts for individual appliances.
arious adjustments to arrive at the system peak. We note that a peak increase of 269 MW by 2035 means an increase in capacity requirements of about 322 MW (using a 20 percent planning reserve margin). Table 7. 2025 Peak contribution compon...
AI summary The text discusses the increase in system peak demand from 2025 to 2035, noting a projected increase of 269 MW by 2035, which would require an additional 322 MW in capacity due to a 20% planning reserve margin. Table 7 provides detailed peak contribution components for different years and sectors.
Disclaimer: These summaries were generated by AI from the filings they describe. We take care to make them accurate, but errors are possible - and they aren't advice. Only the filings themselves are the record: if you're relying on something here, confirm it against the source documents or the Nova Scotia Energy Board's own record. Full disclaimer →