Topic:"Distribution Planning" in M12861

0.00% REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2026 Load Forecast Report Appendix B Page 6 of 34 Residential Model Statistics Model Statistics Iterations 1 Adjusted Observations 120 Deg. of Freedom for Error 107 R-Squared 0.989 Adjusted...

AI summary The document presents statistical model outputs for a residential load forecast, including metrics such as R-squared, mean squared error, and other statistical indicators. The model is being reconciled for the 2026-2036 period.

XCoolm + b3× XOtherm + ∑Binaries + ARMA REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2026 Load Forecast Report Appendix B Page 17 of 34 Variable Coefficient StdErr T-Stat P-Value MStructGen.WtXHeat 0.698 0.032 21.51 0.00% MStructGen.WtXCool...

AI summary This section presents statistical data from a load forecast model, including coefficients, standard errors, T-statistics, and P-values for various variables. The data is part of Appendix B of the 2026 Load Forecast Report.

REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2026 Load Forecast Report Appendix B Page 25 of 34 Medium Industrial Model MedInd_Salesm = MBin.Janm + MBin.Febm + MBin.Marm + MBin.Aprm + MBin.Maym + MBin.Junm + MBin.Julm + MBin.Augm + MBin.Sep...

AI summary The Medium Industrial Model uses a combination of monthly binary variables and a weighted variable (MIVar) to improve forecast accuracy. The model was updated to use a 2016–2025 historical period and incorporates both manufacturing GDP and employment, resulting in a higher R2 value of 0.894 compared to 0.688 in the 2025 Load Forecast.

ION REMOVED) 2026 Load Forecast Report Appendix B Page 29 of 34 Combined Model Statistics Model Statistics Iterations 1 Adjusted Observations 120 Deg. of Freedom for Error 108 R-Squared 0.847 Adjusted R-Squared 0.832 AIC 18.733 BIC 19.012...

AI summary The document presents statistical data from a load forecast model, including model iterations, adjusted observations, R-squared values, and other statistical metrics. It also includes a peak forecast for non-large customer classes.

REDACTED 2026 Load Forecast Report Attachment 4 Page 64 of 80 Year 2036 PHP 2050 DSM DemandYear 2026 31 28 31 30 31 30 31 31 30 31 30 31 Forecast With DSM Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Peak Residential 1036.2 1143.6 1081....

AI summary This table presents a load forecast for the year 2036, including forecasted demand for residential, small general, general demand, and large general sectors across different months, with peak demand values provided. The data includes DSM (Demand Side Management) demand and ETS (Electric Transmission Service) demand for the year 2026.

41.5 41.4 50 Commercial Total 486.9 564.6 544.9 419.1 362.0 429.0 428.8 380.9 403.3 450.8 443.6 482.7 565 Small Industrial 31.1 40.9 37.2 30.4 34.7 35.6 35.0 29.7 26.9 36.2 30.6 36.4 41 Medium Industrial 52.0 53.8 56.9 49.6 38.1 64.8 63.2...

AI summary The text presents a table with numerical data across various categories such as Commercial Total, Industrial segments, and System Peak. It reflects energy usage statistics over different time periods, likely related to energy consumption and capacity planning in Nova Scotia.

1442.8 2001.3 2,062 System Peak 1949.5 2205.6 2178.1 1663.3 1365.2 1441.5 1379.3 1390.5 1319.2 1557.4 1656.1 2129.5 2,206 Transmission Losses Distribution Losses Firm Peak Losses 231.7 245.3 196.0 126.7 91.9 82.1 84.8 89.2 80.9 113.4 155.4...

AI summary The text presents numerical data related to system peak, transmission and distribution losses, and firm peak values over a period of time, likely representing energy usage and efficiency metrics in a utility context.

Engineering model profile based 2023 - 2025 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Total Residential 0.124 0.115 0.109 0.086 0.071 0.058 0.064 0.061 0.054 0.063 0.079 0.115 1.000 ETS 0.138 0.131 0.125 0.086 0.056 0.072 0.028 0.055...

AI summary The document presents an engineering model profile with monthly and total figures for various customer classes from 2023 to 2025, including residential, ETS, and industrial segments, providing a breakdown of usage distribution across different months and categories.

opUp 0.069 0.066 0.038 0.072 0.084 0.096 0.113 0.143 0.115 0.073 0.053 0.077 1.000 Loss Profile Transmission Loss pattern 12.9% 12.4% 11.6% 8.0% 6.7% 5.9% 6.2% 5.4% 5.2% 6.2% 9.2% 10.5% 100.0% Distribution Loss pattern 11.2% 10.0% 10.4% 8....

AI summary The text presents data on transmission and distribution loss patterns over time, as well as DSM allocations across different customer classes, highlighting the distribution of energy and demand-side management initiatives among residential, commercial, and industrial sectors.

2100 Peak Calcs W Modeled Peak (MWRes Peak (MW)EV (MW) DR (MW) Hybrid ModeC&I Growth Large Cust. DSM (MW) Firm Peak (MInter. Cust. System Peak (MW) Check 1900 2026 2,261 2 3 - 8 - 0 99 - 12 2346 130 2,484 2484 2027 2,274 4 7 - 11 - 1 104 -...

AI summary The text presents a table with modeled peak demand values for different years, including factors such as residential peak, electric vehicle demand, demand response, and system peak demand. The data outlines projected growth and demand management strategies for the years 2026 to 2030.

rm Peak Previous Forecast 2033 2,390 11 84 - 36 - 4 4 109 - 87 2471 145 2,652 2652 2034 2,411 12 110 - 37 - 4 4 110 - 99 2507 145 2,689 2689 Current Forecast 2026 actual 2035 2,433 13 141 - 37 - 5 4 110 - 111 2548 145 2,730 2730 2036 2,448...

AI summary The text presents a comparative analysis of peak demand forecasts for various years, highlighting differences between previous and current forecasts, along with variance calculations. It includes data on residential, commercial, industrial, and other demand categories, as well as losses and NSR (Net System Requirement) values for 2025.

Peak Demand Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Peak 2026 2483.8 2407.0 2149.7 1737.9 1469.5 1395.4 1484.4 1518.5 1419.1 1502.1 1907.6 2155.5 2,484 2027 2496.6 2434.4 2176.5 1764.5 1487.2 1409.5 1498.1 1529.1 1427.7 1518.7 1925...

AI summary The text presents peak demand data for each month from 2026 to 2036, showing a general upward trend in peak demand over the years. The highest peak demand is observed in January and December, with the overall peak demand increasing annually.

Firm Peak Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Peak 2026 2354.1 2270.6 1949.1 1534.6 1268.1 1197.0 1276.9 1312.5 1203.0 1295.8 1703.1 2034.0 2,354 2027 2367.3 2298.1 1976.4 1561.4 1284.8 1210.1 1291.0 1323.5 1212.6 1314.1 1722.1...

AI summary The document presents a table showing Firm Peak values for each month from 2026 to 2036. The values represent the highest demand for electricity during each month, with the annual peak listed at the end of each row.

7 2,590 REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2026 Load Forecast Report Attachment 4 Page 78 of 80 Yes 2000 Residential No 2001 ETS 2002 Small General 2003 General Demand 2004 Large General 2005 Small Industrial 2006 Medium...

AI summary The text lists various customer classes and load forecast categories, including residential, industrial, and municipal classes, as well as specific load categories such as losses and unmetered loads, spanning from 2000 to 2025.

REDACTED 2026 Load Forecast Report Synapse IR-1 Attachment 1 Page 1 of 196 REDACTED (CONFIDENTIAL INFORMATION REMOVED) Average of large customer co 2008 10 260.8 0.0 2008 11 396.0 0.0 2008 12 557.4 0.0 2009 1 737.6 0.0 2009 2 588.1 0.0 200...

AI summary The document presents a table with historical load forecast data, including average large customer consumption, heating degree days (HDD18), and cooling degree days (CDD18) from 2008 to 2013. This data is used for load forecasting purposes in the energy sector.

REDACTED 2026 Load Forecast Report Synapse IR-1 Attachment 1 Page 12 of 196 REDACTED (CONFIDENTIAL INFORMATION REMOVED) Year Cust Count Change in Res Customers Population Change in Population Housing Completions Starts Household Size Year...

AI summary The text presents a table with data related to customer counts, population changes, housing completions, and household sizes from 2016 to 2018. The data is part of a load forecast report and provides insights into demographic and housing trends over time.

REDACTED 2026 Load Forecast Report Synapse IR-1 Attachment 1 Page 24 of 196 REDACTED (CONFIDENTIAL INFORMATION REMOVED) General Demand Small General Residential Year 2026 1 0.1226 0.1147 0.1023 2026 2 0.1227 0.1148 0.1021 2026 3 0.1228 0.1...

AI summary The document presents load forecast data for residential and general demand across multiple years, showing trends in energy consumption. It includes detailed monthly breakdowns for 2026 through 2029, with values for General Demand, Small General, and Residential sectors.

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 2022-01-18 2022-01-18 2022 2022 1 1 18 18 21 22 2 2 3.8 3.4 -3 -4.2 4.3 5.1 166...

AI summary The document contains a redacted 2026 Load Forecast Report with tables showing data from 2022 to 2026, including dates, hours, temperatures, wind, and load averages. The data appears to be related to energy forecasting and includes various metrics such as load, temperature, and other operational parameters.

2026 Load Forecast Report (NSEB M12861) NSPI Responses to Synapse Energy Economics Inc. Information Requests 1 Request IR-5: 10 battery capacity in kW and kWh, annual energy impact in GWh, and coincident 11 winter peak impact in MW for eac...

AI summary The document outlines information requests related to the 2026 Load Forecast Report, focusing on battery capacity, cost decline projections, and the exclusion of battery peak-impact sensitivity analysis. It also asks for quantification of potential winter peak reduction from customer-sited batteries, solar-plus-storage, and V2G resources.

Residential Commercial Industrial Municipal and Other Losses Total 2026 5,315 3,165 2,183 131 781 11,575 2036 5,646 3,213 2,168 259 810 12,097 Change 331 48 -15 128 17 522 Percent Change 6% 2% -1% 98% 2% 5% Source: Synapse from Table A1 fr...

AI summary The table presents a load forecast for residential, commercial, industrial, and municipal sectors in Nova Scotia for the years 2026 and 2036, showing increases and decreases in demand across different sectors. The data is sourced from Synapse's Table A1 from the 2026 Load Forecast.

Table [Table 7](#page-12-0) shows the peak forecast decomposed into component parts. Table 7. 2026 Peak contribution components (MW) Modeled Peak (MW) Res Heat Peak (MW) EV (MW) DR (MW) Hybrid (MW) C&I Elect. (MW) Large Cust. (MW) DSM (MW)...

AI summary Table 7 provides a forecast of peak demand contributions for 2026, 2036, and 2035 (max non-coincident EV peak) in MW. It breaks down the contributions from various sectors and programs such as residential heat, EV, demand response, and DSM.

Recommendations NS Power should continue monitoring trends in behind-the-meter storage adoption, both standalone and solar-plus-storage.

AI summary The recommendation suggests that NS Power should continue monitoring trends in behind-the-meter storage adoption, including both standalone and solar-plus-storage systems.