Utility Machine Learning & AI Solutions

AI changes everything from utilities’ customer engagement to streamlining operations

Artificial intelligence and machine learning are beginning to demonstrate some of their most impactful effects on every aspect of a utility’s business. Power, water, wind, and natural gas operators are increasingly leaning on AI to inform their operational & strategic decisions.

The Utility Analytics Institute conducted a survey of 42 major utilities focused on an assessment of the analytics maturity taking place within the utility. UAI asked the utilities to rate their company’s ability to process data with the tools and technologies available to them. After reviewing the results, UAI said, “In terms of whether analytics toolsets meet enterprise needs, most responses fell in the poor/limited and good categories.” Clearly, there is a need for user-friendly methods for managing data.

Mosaic can be that data science partner to help you ascend the analytics maturity curve quickly. Whether you need support identifying quick win opportunities, executing on those opportunities, or raising the organizational level of comfort around AI or ML – Mosaic has you covered. After working for several customers in the utility world, we feel very confident in being able to design & deploy effective utility machine learning solutions & that bring value to any area of the business.  

Our data science team is adept at developing machine learning models across the advanced analytics spectrum, especially for utilities and energy companies. We have worked multiple client engagements where we develop a suite of tools and capabilities that facilitate ongoing learning from data to bring continuous value through machine learning and artificial intelligence. Additionally, Mosaic excels at innovation, working collegially and interactively with our utility clients to build innovative solutions. This expertise and comfort with thoughtfully applying the tools and techniques of data science to varied and unique business needs set us apart.

Working together, we have succeeded in developing and disseminating new and advanced approaches, tools and models across large utilities and oil & gas firms. Some of our energy and utility clients include Exelon, Alliant Energy, LG&E, PPL, Spire Energy, Suez, Suburban Propane, and so we demonstrate breadth and depth across electricity, water, and natural gas distribution.

Utility Solution Sheet

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Utility Success Stories


Automating Asset Recognition & Inspection with Computer Vision

Computer vision offers significant cost savings by way of scalability and automation. Collecting a large set of image data is only the first step. The true art of any AI application comes down to how a data scientist can tune AI to accurately label what is in the image set. Utility organizations can tune AI to automatically identify infrastructure defects, security threats or weather events as it relates to their operations.    

Predicting Customer Churn & Identifying Growth Markets

Machine learning applications allow utilities to craft prices & services that maximize margins while combatting customer churn. Leveraging behavioral information utilities can quickly develop propensity models that predict & recommend actions based on that specific customer profile. Rolling these insights up to the macro level can help inform a geographical growth strategy.

Workforce Planning Predictions

Optimizing seasonal staffing and resourcing is a key challenge for many utilities, especially when the exact timing of high-volume activity can change based on complex factors. Augmenting the workforce too early means diverting profit to unnecessary personnel costs, while waiting until high-volume demand is already underway risks operating below capacity and decreasing customer satisfaction (e.g., if there are long wait times). Predictive analytics can be deployed to forecast seasonal demand, helping utilities to anticipate periods with increased staffing needs. Whether daily, weekly, or monthly forecasting is required, advanced analytics and machine learning can drive operational efficiency through better resource allocation.

Predictive Grid Analytics (coming soon)

Demand management can be automated and made smarter with AI. Mosaic has helped our customers use anomaly detection to identify anomalous consumption events, simulate transmission builds, monitor plant emissions and fraudulent activity. It has been estimated that AI could be used to help unlock up to 6GW of demand-side flexibility which can be shifted during peak times without affecting end-users. 

Mosaic has helped these companies apply data science into their business

“What I like about Mosaic is that you actually do data science, too many times we work with other vendors who say they do but in reality, focus on data engineering.”

DAta Science Team Manager at a Leading Energy Company

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