Bidgely

Improved customer energy efficiency and reduced peak demand charges for utility providers.

Product

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Energy & Utilities

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Anomaly Detection

Project Overview

Bidgely’s machine learning platform disaggregates household energy consumption by appliance to help utilities and customers optimize electricity use and reduce costs.

Layman's Explanation

This technology can tell which appliances in a home are using the most electricity and suggest ways to lower usage, benefiting both households and energy providers.

Analogy

Similar to a financial advisor separating your spending into categories to help you understand and cut down on expenses, Bidgely breaks down your energy use by appliance to help manage electricity costs effectively.

Details

Bidgely utilizes machine learning to analyze smart meter data and distinguish the energy "signature" of each appliance in a household. This disaggregation approach provides specific insights on where and how energy is consumed. The platform can also offer recommendations for usage reduction and manage peak demand by notifying users to adjust or defer appliance use. Unlike traditional smart meters that only track total consumption, Bidgely’s appliance-specific insights help utilities and homeowners make targeted energy-saving decisions.

Project Novelty

While energy tracking is common, appliance-level disaggregation using machine learning is unique and avoids the need for additional hardware.

Project Estimates

Timeline:

10 months

Cost:

$750,000

Headcount:

9

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