Topic:"Energy Management Information Systems" in M10569

Matter: P-194 - Nova Scotia Power Inc. (NSPI) - 2022 Load Forecast Report

2 passages 2 documents

Energy Management Information Systems across all matters →

N-6NSPI (Synapse) RIR-1 to RIR-43 - Redacted 1 passage

1,117.96 2,203.83 659.79 62.91 1.01 30.91 324.33 0.00 59.69 1.53 1,779.35 528.82 358.46 44.46 177.99 50.79 47.46 762.74 418.19 359.53 0.00 1,423.21 0.97 1,382.24 0.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 112.51 9,868.73

Year Month ResEndUse.ResCool NResEndUse.SmlGenCool NResEndUse.GenCool mVars.CoolLoad mVars.Days mVars.Cool_AvgMW mPkDayWthr.PkCDD mPkDayWthr.PkCDDIdx mVars.Cool_Var 2019 9 10,256.7 1,890.2 17,758.2 18,194.0 30.0 25.3 3.9 0.5 11.3 2019 10 2...

AI summary The text presents a series of numerical data points spanning multiple years and months, likely related to energy usage metrics such as cooling load, days, and average megawatts. The data includes values for residential and non-residential end-use cooling, as well as variables related to peak cooling degree days and other weather-related factors.

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N-8Evidence of John Wilson, CA 1 passage

Section 15

e load carrying capability (ELCC) of wind power resources. It may be appropriate to recognize that daily average wind speed is correlated with both load and generation in that calculation. Evidence of John D. Wilson • Matter No. M10569 • J...

AI summary The text discusses the impact of wind speed on load carrying capability (ELCC) of wind power resources, noting that higher wind speeds correlate with increased load during cold days. John D. Wilson's evidence suggests incorporating wind speed into load forecasts could improve NS Power's weather normalization and forecast accuracy for operational planning.

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