Topic:"Transmission Planning" in M10569

to NSUARB IR-3 Attachment 1. 29 30 Date Filed: July 8, 2022 NSPI (CA) IR-2 Page 1 of 1 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 10 - Year Energy and Demand Forecast (2022 Load Forecast Report) (NSUARB M10569) NSPI Responses to Consumer...

AI summary NSPI responds to NSUARB's IR-3 request regarding geographic load data, stating billing data (1-2 months of consumption) is used for forecasting. Load flows are not evaluated for forecasting, and AMI data integration is under review for granular analysis. No geographic disaggregation by transmission zones is currently available.

to NSUARB IR-3 Attachment 1. 29 30 Date Filed: July 8, 2022 NSPI (CA) IR-2 Page 1 of 1 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 10 - Year Energy and Demand Forecast (2022 Load Forecast Report) (NSUARB M10569) NSPI Responses to Consumer...

AI summary NSPI responds to NSUARB's request regarding geographic load data, stating that load flows are not used in forecasting, billing data introduces uncertainty if disaggregated, and AMI data integration is under review for granular analysis.

evaluated load flows used 24 for transmission planning as possible inputs, and that it is reviewing how to integrate AMI 25 data in order to provide more granular analysis. 16 NS Power has hourly substation load data 26 from the areas repr...

AI summary NS Power is evaluating load flows for transmission planning and integrating AMI data for granular analysis. John D. Wilson recommended focusing on peak load and using multi-hour average temperatures instead of single-hour measures, along with considering wind speed and cloud cover.

Date Filed: June 16, 2022 CA (NSPI) Page 2 of 11 1 b. If NS Power does not have load data by transmission zone, please explain how NS 2 Power determines load flows in transmission planning. 3 4 c. Please discuss NS Power’s plan to develop...

AI summary The document includes regulatory requests to NS Power regarding load data management, transmission planning, EV charging impact assumptions, and DSM adjustments. Questions focus on data collection methods, EV load modeling, and demand-side management efficacy, with specific references to technical reports and forecasting methodologies.