Our approach to the development of dynamic load shape generators is to model anonymized and aggregated customer load pro

Usable once revised. A reviewer wants the wording tightened first.

Status

• Review verdict: revise
• Reusable as written: no
• Issues found: client_specific
• Reviewer note: Text references specific California Energy Commission office and Investor-Owned Utilities, limiting generic reuse. Requires generalization of client-specific entities to be reusable.

Text

Our approach to the development of dynamic load shape generators is to model anonymized and aggregated customer load profiles provided by Investor-Owned Utilities in tools such as R-studio and Energy Plus, and the System Advisor Model. The Energy Plus models, once calibrated to historical load profiles and conditions, can make predictive assessments of how load profiles may change as a function of specific saturations of energy efficient equipment, controls, building materials, and climatic or weather-related scenarios. Regression models for the industrial sector will consider economic parameters such as sector level employment and gross sector product to adapt load profiles. The end result is that the load shapes will adapt in harmony with the actual forecasted annual energy usages for a wide variety of forecasting scenarios employed by the California Energy Commission Demand Analysis Office.

Applicability

• Section: technical_approach (corpus label other)
• Scope: mixed_context
• Observed documents: 6
• Years: 2019 to 2024
• Issuers: ORLANDO UTILITIES COMMISSION;Pennsylvania Public Utility Commission
• Program types: MISSING
• Jurisdictions: Florida;Pennsylvania

Sources

• [F005145, paragraph:150]
• [F005262, paragraph:1100]
• [F006812, paragraph:157]
• [F009015, paragraph:841]
• [F015178, paragraph:402]
• [F015619, paragraph:157]