Electricity demand compared to last year has increased due to factors such as fluctuations in supply and price, weather patterns, aging grid capacity and infrastructure, and/or overall growing demand from growing urban areas, data centers and AI, and industrial activity.
For utilities looking to manage the change in loads and help customers manage their usage, analytics programs can help optimize various operational processes through data-driven insights, improving overall efficiency and productivity.
Combined with machine learning algorithms, analytics becomes an effective aggregator that can pull historical data and current usage patterns for utilities to help customers forecast their energy consumption. Trilliant’s Analytics as a Service is a powerful tool that gives utilities several ways to positively impact their customers with any type of weather planning.
Analytics as a Service provides accurate forecasts of energy consumption patterns and identifies peak usage times, that helps utilities incentivize customers to reduce their consumption, and manage supply and demand more effectively. From there, customers can plan their budgets more effectively to save money, and even receive personalized recommendations on how to further reduce energy consumption during the winter months from optimizing heating systems, improving home insulation, and using energy-efficient appliances.
No matter what the weather forecast predicts, Trilliant’s Analytics excel in predictive maintenance. It goes beyond analyzing usage to anticipate equipment failures and schedule maintenance proactively, thereby reducing downtime and operational costs.
Frozen utility or power meter during Winter
All of these demand response programs enhance customer experience and enable them to prepare for possible disruptions, manage their bills, find incentives to adjust their usage, and receive quicker restoration during unplanned downtimes.
Another great capability of Trilliant’s Analytics as a Service is Non-Technical Losses (NTL) and Fraud Detection that identifies anomalies indicating energy theft or loss, allowing utilities to take corrective actions, and enhance the utilities security and trust.
By leveraging Analytics as a Service, utilities can empower their customers with the tools and information they need to manage their energy usage more effectively during the winter months, leading to cost savings and improved satisfaction.
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