Overview

The Portfolio Benchmarking Engine provides standardized, automated benchmarking across portfolios of utility meters, buildings, systems, and individual components. It enables organizations to understand performance variation, prioritize opportunities, and verify improvement using consistent, high‑fidelity analytics—without site audits or manual studies.

The engine operates on customer‑provided enterprise data or data acquired via Pathian connectors, making it deployable at scale with minimal integration friction.

The Portfolio Benchmarking Engine applies GEES‑based normalization to generate comparable baselines and benchmarks across diverse assets and operating conditions. This allows performance to be evaluated consistently across:

• Entire utility or enterprise portfolios
• Individual facilities or campuses
• Systems such as HVAC plants or airside equipment
• Discrete components including pumps, motors, and chillers

The engine produces on‑demand performance variance outputs at any level of aggregation. Organizations can quantify how actual performance deviates from expected behavior over time and identify where energy efficiency or demand reduction opportunities exist.

Variance outputs are generated programmatically and continuously as new data arrives.

By ranking assets based on performance variance and persistence, the Portfolio Benchmarking Engine helps organizations:

• Identify the largest sources of inefficiency
• Prioritize actions based on impact and scale
• Target incentive programs and partner engagement

The engine identifies opportunities; customers and partners determine how to act on them.

The engine operates on flexible data inputs, including:

• Utility meter data
• Enterprise energy data tables
• Building and system operational data
• Data streams from Pathian connectors

Analytics outputs are delivered through APIs and platform interfaces for integration with utility systems, OEM platforms, and reporting tools.

The Portfolio Benchmarking Engine supports modern utility and regulatory use cases by providing:

• Consistent pre‑ and post‑performance baselines
• Peer group comparisons
• Verified variance metrics
• Inputs to incentive, peak, and compliance reporting

The engine produces standardized analytics outputs suitable for regulatory review without Pathian acting as a program operator or evaluator.

Organizations:

• Select assets and portfolios to benchmark
• Define actions, programs, or delivery strategies

Pathian:

• Provides standardized benchmarking analytics
• Maintains consistent methodology and verification
• Enables measurement‑driven decision‑making at scale