Topic/Matter Intersection

Topic:"Energy Usage Patterns" in M12861

Matter: Nova Scotia Power Inc. (NSPI) - 2026 Load Forecast Report
8 passages 2 documents

Energy Usage Patterns across all matters →

N-12026 Load Forecast Report - Redacted 7 passages
Section 8
LIST OF FIGURES 1 Figure 1: Historical and Predicted Annual Net System Requirement ............................................ 9 2 Figure 2: Historical and Predicted Annual System Peak ........................................................

AI summary The document lists figures related to historical and projected energy demand, system peak loads, heating and cooling degree days (HDD/CDD), and customer load trends, providing data for analysis in a regulatory proceeding.

Section 13
1 Figure 43: Historical and Forecast Annual Residential Sales....................................................... 63 2 Figure 44: Building Characteristics and Structural Index................................................................

AI summary The text lists figures depicting historical and forecasted annual sales data across residential, commercial, industrial sectors, and other metrics like NSR. Visuals include breakdowns of sales components, growth trends, and variance analysis for energy sectors in Nova Scotia.

Section 40
Page 21 of 105 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2026 Load Forecast Report REDACTED 1 CDD, as shown in Figure 7 below, are calculated using 10 years of actual weather data covering 2 the period January 2016 to December 2025. The...

AI summary The 2026 Load Forecast Report analyzes heating degree days (HDD) and cooling degree days (CDD) trends using 10 years of weather data (2016-2025). It identifies a warming trend with HDD decreasing by ~15/year and CDD increasing by ~1.4/year, applying regression analysis to project future load requirements.

Section 52
Page 31 of 105 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2026 Load Forecast Report REDACTED

AI summary The 2026 Load Forecast Report provides an analysis of anticipated electricity demand in Nova Scotia for the year 2026. Key factors influencing the forecast include energy usage patterns, infrastructure planning, and the impact of energy efficiency programs on load growth.

Section 131
Page 67 of 105 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2026 Load Forecast Report REDACTED

AI summary The 2026 Load Forecast Report provides an analysis of expected electricity demand in Nova Scotia for the year 2026. The report includes projections based on various factors such as population growth, economic development, and energy efficiency initiatives.

Section 189
Residential Commercial Industrial Municipal Total Year Sector Growth Sector Growth Sector Growth and Other Growth Losses Energy Growth GWh % GWh % GWh % GWh % GWh GWh % 2016 4,264 -5.3% 3,133 -3.7 2,444 -0.5 179 -9.2 789 10,809 -2.6 2017 4...

AI summary The table presents energy consumption growth data across various sectors (residential, commercial, industrial, municipal, and other) from 2016 to 2028, showing fluctuating trends in energy usage, including both increases and decreases in different years.

Section 201
ussed in Section 5, this variable was used to explain the increase in residential load from people working from home during the pandemic and subsequent years, but is removed from the forecast period. Binary shift variables are added to the...

AI summary The text discusses the use of binary shift variables in a linear regression model to explain variations in residential load and sales, including adjustments for anomalies in billing data and residual autocorrelation. These variables were added for specific months to improve model fit and address data irregularities.

N-7NSPI (Synapse) RIR 1 to 21 - Redacted 1 passage
SUMMARY OUTPUT p. pp. 34-186
SUMMARY OUTPUT Regression Statistics 2024 2 6 0 0.1 1,323 1,429 2024 2 7 -2.5 -1.4 1,366 1,420 2024 2 8 -4.7 1.5 1,410 1,307 2024 2 9 -6.6 -0.2 1,472 1,279 2024 2 12 1.8 5.8 1,228 1,189 2024 2 13 -2.9 0.1 1,324 1,396 2024 2 14 -5.8 -5.3 1,...

AI summary The text presents a table containing regression statistics for various months in 2024, including values such as coefficients, standard errors, and differences in megawatts. These statistics may be used for analysis related to energy usage patterns or other regulatory considerations.

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 →