Electrification Measurement

Data Inputs & Configurations Guide

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About This Guide

This guide explains the data inputs and configuration settings required to enable Electrification Measurement within FLEX Programs. It outlines the datasets needed to calculate measured electrification impacts and the available program configuration options. It describes how these elements align with program objectives and regulatory requirements, enabling consistent measurement of program impacts throughout the program lifecycle.

Measurement Overview

Measuring Fuel Switching Impacts

Measurement is the foundation of FLEX Programs. It defines how electrification program performance is tracked and reported, and can be configured to meet each program’s requirements. Using interval metering data, project installation records, and program configuration settings, FLEX Programs calculates the measured impacts of electrification projects for every participating site across the program lifecycle.

Electrification programs often increase electric consumption while reducing fossil fuel use. FLEX Programs evaluates both electric and gas usage to quantify the net impact of fuel switching and determine how projects affect overall site energy consumption by analyzing usage before and after installation.

Once configured, FLEX Programs automatically applies these settings across the program lifecycle. Results update continuously in the Measurement view as new data arrives and is processed, providing a clear view of program performance over time.

Using Measurement, you’ll know:

• How does electric consumption change after electrification projects are installed
• How does fossil fuel usage change following project implementation, such as natural gas reduction
• The net energy impact of electrification projects across electricity and gas meters
• Which technologies, measures, or contractors drive the most impact
• How performance varies across customer segments, building types, and geographic areas
• How measured impacts compare to forecasted or deemed expectations across the portfolio

Core Data

Below are the core data needed to calculate ongoing performance measurement:

CATEGORY	DESCRIPTION
Interval Load Data	Hourly or 15-minute AMI data for all participating service points. This data provides the observed load used to calculate project impacts and serves as the basis for performance measurement. Historical data from up to one year before the start of the program’s season should be provided to calibrate models. The data flow should be continuous during the program duration to provide ongoing performance measurement. Electric and gas usage data are required for the measurement of electrification projects.
Customer Metadata	Foundational customer and site attributes that allow segmentation, normalization, and contextual analysis. These fields enable performance assessment across various customer types, rate structures, and equity groups. Customer metadata should be provided at a minimum of monthly frequency when providing the entire service territory population dataset, to ensure that new accounts, tariff changes, and classification updates are captured. Fields: • Service account ID • Utility’s Premise or location ID • Customer class (residential, commercial, industrial) • Tariff or rate schedule • Income or equity flag (e.g., CARE/FERA, low-income indicator) • Building type or NAICS sector code • Climate zone Net metering
Project Data	Project data can be provided on an ongoing basis via FLEX Programs’ Implementation Tools, bulk data transfers, or API integration. Links sites to the specific projects and performance groups that will be measured. Project datasets should be continuously updated to ensure each program’s impact is accurately captured using the latest enrollment information. Fields: • Program ID and name • Enrollment start and end date • Aggregator Enrolled project, measure(s) and associated load shape(s) • Project installation dates (blackout period) • Forecasted kWh and/or Therms savings for the project Population segments such as NAICS codes, sectors, business types, etc. • Equity data such as DAC, local contractor, ESL, etc. • Building square footage
Non Participant Data Optional	Non-Participant data refers to customer metadata and AMI data from accounts that are not enrolled in the measured program. While optional, it is strongly encouraged to include this data to significantly improve measurement accuracy by accounting for external factors that influence energy use beyond program activity, such as economic conditions or broader system trends. This distinction enables the platform to separate true electrification impacts from background variation, producing more precise and defensible measurement results.

Measurement Configuration

CONFIGURATION AREA	DESCRIPTION
General Program Configuration	General program design informs configuration options listed below. May or may not apply depending on program type. Configuration: •Program enrollment start & end dates •Accepted population segment(s) • Optional value stream inputs (Avoided Cost Curve, Total System Benefit value curve, etc.) •Measure characteristics such as Effective Useful Life (EUL), deemed/standard measure load shapes, and therms profile Net-to-Gross ratios (Ex. Commercial vs. Residential) •Discount rates
Assigned Savings Methodology	Portfolio Average Forecast with Realization Rate Forecast Direct (or Deemed)
Disqualification Thresholds	Recurve can set automated validations to flag savings outlier projects with measured savings that are +/- X% of the counterfactual, based on what makes sense for the accepted program measures. These flagged projects get automatically disqualified for further review, and can subsequently get overridden back to qualified/measured status if justified. The typical recommended savings outlier thresholds for electrification projects are as follows: Based on Recurve’s statistical analysis of electrification portfolios, the typical recommended savings outlier thresholds are as follows: Electric meters: Minimum percent savings of -100% of the counterfactual Maximum percent savings of 50% of the counterfactual Gas meters: Minimum percent savings of -50% of the counterfactual Maximum percent savings of 100% of the counterfactual Other optional disqualification settings include total usage outliers, to flag sites with total counterfactual usage values beyond specified thresholds.