Topic:"Rates And Money" in M10569

1 7.4 Municipal 2 3 The Municipal class comprises municipal electric utilities that purchase wholesale 4 electricity from NS Power and distribute it within their own service territories. Utility loads 5 within these municipalities include...

AI summary The Municipal class includes municipal electric utilities that purchase wholesale electricity from NS Power and distribute it within their service territories. Since 2007, these utilities can source electricity from other providers through the OATT. Some have shifted to 100% third-party supply, reducing their load from NS Power. NS Power must still provide backup capacity to these utilities, and their peak demand is included in the Load Forecast.

0 2020 4 8 24,428.69 9.43 0 0 0 0 9.43 0 0 0 0 0 0 0 0 0 0 0 10.66 7.34 0 0 0 2020 4 9 24,756.27 11.87 0 0 0 0 11.87 0 0 0 0 0 0 0 0 0 0 0 9.43 10.66 0 0 0 2020 4 10 25,206.11 10.14 0 0 0 0 10.14 0 0 0 0 0 0 0 0 0 0 1 11.87 9.43 0 0 0 2020...

AI summary The document contains a table with numerical data spanning multiple months in 2020, possibly related to financial or operational metrics. A section is redacted, indicating the removal of confidential information, and is followed by a reference to '2022 LFR CA IR-14 Attachment 1', suggesting it is part of a larger regulatory proceeding.

7 31 21,532.50 0 0 0 0 0 0 0 0 0 0 2.36 0 0 0 0 0 1 0 0 0 0 0 2020 8 1 19,795.50 0 0 0 0 0 0 0 0 0 3.31 0 0 0 0 1 0 0 0 0 0 0 0 2020 8 2 19,699.56 0 0 0 0 0 0 0 0 0 3.41 0 0 0 1 0 0 0 0 0 0 0 0 2020 8 3 20,399.48 0 0 0 0 0 0 0 0 0 1.21 0 0...

AI summary The text presents a table of numerical data with dates and values, followed by a redacted section indicating the removal of confidential information from a 2022 LFR CA IR-14 Attachment 1 document.

0 0 0 0 0 0 0 0 0 0 -180.897 132.025 0 0 2018 9 22 18,178.97 19,044.52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -898.36 0 0 0 32.813 0 2018 9 23 18,120.50 19,044.52 40.72 0 0 0 0 0 0 0 0 0 0 0 0 -964.744 0 0 0 0 0 0 2018 9 24 19,503.00 19,044.52 699.99...

AI summary The provided text consists of numerical data and a redacted section from a regulatory proceeding document. The numerical data appears to be related to financial figures, possibly from a proceeding involving rates, costs, or financial instruments. The redacted section indicates that confidential information has been removed.

0 0 0 0 677.827 0 0 0 0 0 0 0 0 0 2021 7 14 19,574.67 19,044.52 0 0 0 0 0 0 0 0 0 0 530.149 0 0 0 0 0 0 0 0 0 2021 7 15 19,697.42 19,044.52 0 0 0 0 0 0 0 0 0 0 652.903 0 0 0 0 0 0 0 0 0 2021 7 16 19,797.91 19,044.52 0 0 0 0 0 0 0 0 0 0 934...

AI summary The text contains a table with numerical data and a redacted section indicating confidential information has been removed. It also references a document labeled '2022 LFR CA IR-14 Attachment 1 Page 52 of 57'.

1/22/2018 2018 1 1 8 -8.2 1579.347 1/23/2018 2018 1 2 8 -8.2 1596.176 1/24/2018 2018 1 3 8 5.7 1223.419 1/25/2018 2018 1 4 8 -6.9 1550.071 1/26/2018 2018 1 5 8 -10.9 1683.908 1/29/2018 2018 1 1 8 -0.7 1384.372 1/30/2018 2018 1 2 8 -6 1481....

AI summary The text contains a series of numerical data entries spanning from January 2018 to January 2019, including dates, values, and possibly financial or operational metrics. The latter part of the text mentions a redacted attachment from a regulatory proceeding in 2022.

2026 2,487 0.30 0.70 2,779 4,498 7,277 23 4.6 0.6 2027 3,696 0.30 0.70 3,888 7,085 10,973 35 7.0 0.6 2028 5,559 0.30 0.70 5,556 10,977 16,532 53 10.8 0.7 2029 8,461 0.25 0.75 7,671 17,322 24,993 82 16.6 0.7 2030 13,030 0.25 0.75 10,869 27,...

AI summary This document presents a 10-year energy and demand forecast from 2022, including figures for various years up to 2031. It is part of the NSUARB M10569 proceeding and includes NSPI's responses to information requests.

0.00% REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2022 LFR CA IR-14 Attachment 1 Page 57 of 57 Model Statistics Iterations 1 Adjusted Observations 1092 Deg. of Freedom for Error 1072 R-Squared 0.977 Adjusted R-Squared 0.976 AIC 13.446 BIC...

AI summary The text presents statistical model outputs and variable coefficients related to a regulatory proceeding. It includes metrics such as R-Squared, AIC, BIC, and F-statistic, along with coefficients for variables like HDD13, HDD0, and lag terms. These statistics are likely used for forecasting or analysis within the proceeding.