Bidgely is the industry's AI-powered, data-driven energy analytics leader and UtilityAITM is the only true disaggregation platform. UtilityAI was designed from the ground up with a "built-in" approach that outperforms "bolt-on" energy software solutions that have failed to integrate acquired functionality. With an 8 year track record, 17 patents, and international deployment at scale in 24 million homes, we're still leading the pack.





Time of Use

Gas, Water

A New Era in Energy Use Disaggregation:
TOU Granularity

Energy disaggregation is the science that itemizes consumers' smart meter and monthly-read energy data by individual appliances. Using patented machine learning algorithms, we extract appliance usage and convert that data into useful insights.

As the industry pioneer in disaggregation, Bidgely has once again advanced energy data science with Time of Use (TOU) disaggregation that breaks down consumption to never-before-achieved granularity. TOU disaggregation uses sophisticated machine learning models and signal processing algorithms to take actionable intelligence to the next level by defining energy consumption patterns at the AMI sampling frequency.

The more granular the data analytics capability, the more targeted, efficient and successful utility programs can be. Bidgely's AI-powered TOU disaggregation science provides utilities with more precise customer energy usage insights than any other analytics approach before, delivering value across the enterprise.

Itemization of Appliance Usage for ALL Homes, Worldwide without Sensors

smart meters utilityai

Bidgely performs its disaggregation through meter data alone. This eliminates the reliance on hardware sensors that are expensive to deploy and cumbersome for the customer to install. Because our algorithms can be applied successfully to both smart meters and analog meters, your customers will have a consistent experience regardless of meter type.

  • Smart meters:
    Using machine learning algorithms, Bidgely's patented energy disaggregation technology detects and extracts appliance fingerprints from smart meter data. The data is converted into itemized energy bills and useful insights.
  • Monthly-read meters:
    Leveraging a database of more than over 50B meter readings from smart meters, Bidgely's machine learning models extend itemization to non Smart Meter homes using a "matched peer" or a "matched region" approach.

Patented Technology for Peace of Mind

Bidgely's disaggregation technology is protected by numerous patents, so utilities' implementations are safe from contention.The patented machine learning algorithms include those related to:

  • Energy disaggregation techniques for ami/smart meter whole-house energy consumption data
  • Solar energy disaggregation techniques for whole-house energy consumption data
  • Anomaly detection and bill comparison from disaggregated energy data
  • Low frequency/ non-smart meter energy disaggregation techniques
  • Detecting occurence of an event in a household environment

Best-In Class Data Science Team Delivers Superior Science

Bidgely has over 20+ data scientists that have worked since 2011 to develop robust algorithms that last; the team regularly publishes research papers and reviews the latest techniques both in academic research & commercial markets.
  • Accuracy: Best-in-industry detection and consumption accuracy
  • Coverage: 100% of homes and 100% of major appliances (including lighting, EV, and water heater)
  • Scale: With more than 24M homes globally, we provide disaggregation to more customers than other provider
  • Roadmap of Disaggregation Innovation: Appliance type detection, efficiency rating, energy thief prevention, elderly risk prevention and more

NILM Disaggregation vs. Statistical Modeling

Some solutions claim that their statistical modeling is analogous to disaggregation. Don't be fooled. Statistical modeling which provides "typical" usage reports for homes of similar location and size is no match for the real thing.

True disaggregation updates dynamically according to usage patterns, such as if the consumer goes on vacation or upgrades an appliance. Bidgely itemization reflects such changes in real time.

Next Best Interaction Engine

Bidgely's unique Next Best Interaction (NBI) engine takes into account each customer's 100-point profile, context, weather data and the utility's objectives in order to select the best next interaction possible for every household. Each NBI combines a personalized energy use insight and a recommended action pulled from a library of behavioral tips, education, programs and product offerings. This ensures that customers only see recommendations that are directly relevant to them, and are never shown recommendations upon which they can't act.

Using AI to Create the Next Best Interaction NBI for Utility Customers Residential and SMB:

AI is Transforming the Energy Industry - Insights from Utility Leaders

Flexible Deployment

Choose the consumption model that works best for you