PG&E Residential Digital Rate Study

What is the Digital Rate Study?

The PG&E Residential Digital Rate Study provides a standards-based approach (OpenADR 2.0b) for third-parties to receive accurate pricing for their residential customers. Participating third-parties are expected to utilize this pricing data to accomplish price-optimized load shifting to provide different services such as customer bill savings, rewards earnings, carbon footprint reduction, and to achieve overall customer and grid benefits.

Current price-optimized load shifting typically requires customers to manually program their rate into their devices. This approach can be challenging for customers and requires them to update programming when their rate changes. The approach in this study will be to ensure that the correct and current rate is made available through a technical interface, eliminating the need for customers to manually program and maintain rates. Another shortcoming of manual programming is the inability to properly handle tiered and baseline-credit rates and customer discount programs. By leveraging various data sources, this study will allow the projection of the true customer price.

The study will offer price data for the following residential electric rates: E-1, E-6, E-TOU-B, E-TOU-C, E-TOU-D, EVA, EVB, and EV2A. The study will also incorporate the following rate options: SmartRate, CARE, FERA, Medical baseline, and NEM.

PG&E and Olivine hosted webinars to provide more information about the study and answer questions. A copy of the webinar slides are available here for download.

To declare interest in the study, please fill out the declaration of interest form and email it to pge-ratestudy @

The Digital Rate Study is sponsored by the PG&E Demand Response Emerging Technologies Program.


Who can participate?

PG&E and Olivine are looking for participants for the PG&E Residential Digital Rate Study. This study is available to third-parties such as EVSE providers, EV manufacturers, residential battery and solar providers, AC/heat pump thermostat vendors, electric water-heater vendors (EWH or HPWH), third-party energy efficiency pay-for-performance (EE P4P) providers, platform service providers, and home automation manufacturers/vendors.

Why should my company participate in the study?

By participating in this study, you can receive accurate and estimated pricing for your residential customers. Prices will be available through a technical interface, eliminating the need for customers to manually program devices. Prices will also capture tiered and baseline-credit rates, enabling enhanced price optimization. You can use these customized prices to provide new and enhanced services to your customers that reduce the customer bill and to achieve overall grid benefits.

You will also have the opportunity to provide feedback during the study and at the end of the study. Your feedback will inform the future direction of price data delivery, helping PG&E take informed positions on future digital rate related activities.

What are the study participation requirements?

Interested parties must:

  • Be integrated with PG&E ShareMyData (SMD)
  • Agree to enroll customers into the study
  • Be OpenADR 2.0b certified
  • Be able to receive price signals through OpenADR
  • Agree to the study vendor terms and conditions (T&Cs)
  • Request their customers complete an online customer authorization form and agree to the study customer T&Cs
About PG&E's Demand Response Emerging Technologies Program

Pacific Gas and Electric Company’s (PG&E) Demand Response Emerging Technologies (DRET) program enables the assessment of new technologies and applications – such as “smart” devices behind customers’ meters, design tools, channels, or new program features that have the potential to enhance customers’ ability to better perform on demand response (DR) and facilitate DR integration into the CAISO markets. PG&E also uses DRET to study possible incentives to midstream and upstream market actors to adopt automated technologies that use standard open communication protocols, and to consider methodologies to determine deemed Automated Demand Response (ADR) incentives and how best to determine the incremental communication cost for different types of DR enabling technologies.