Unified siloed data sources
Improved forecast accuracy
Faster dashboard delivery
Self‑service insights access
The challenge
Unlocking actionable insights to enhance forecasting precision
A leading U.S. utility needed to improve its ability to forecast demand as electric vehicle charging, heat pumps, and other distributed energy resources gained traction. Siloed smart meters, weather systems, and external data reduced visibility into demand trends, while the lack of curated features and intuitive dashboards increased manual work and delayed decisions.
Key challenges
Unifying smart meters, customer programs, weather, and other external data sources
Understanding how emerging load patterns influence demand
Translating data into precise, forecast-ready insights
Delivering insights via intuitive dashboards
The solution
Analytical tools and dashboards to enhance forecasting confidence
Data & insight development
Developed behavioral features, trend analyses, and regional aggregations to understand the impact of emerging technologies.
Collaborated with product owners to form hypotheses to uncover patterns influencing demand.
Intuitive dashboards
Created functional prototypes of analytical workflows using Jupyter notebooks within the C3 AI platform.
Iterated with product owners and quickly turned prototypes into dashboards that met evolving requirements.
Curated library of reusable assets
Identified common patterns across use cases and captured them in a curated library of technical assets.
Teams now reuse these assets to accelerate delivery and reduce time to value.
Implementation approach
1
Discovery
Engaged product owners to clarify evolving forecasting needs and align data and dashboard requirements with business priorities.
2
Feature & dashboard development
Created statistical summaries, behavioral features, and intuitive dashboards that deliver actionable insights for forecasting and planning.
3
Operationalization
Transitioned processes and visualizations into automated, repeatable dashboards within the C3 AI platform to support long-term planning.
The impact
Richer data, faster insights, and enhanced forecasting inputs
Data quality
Cleaner, unified data across sources
Richer features for deeper analysis
Delivery speed
Faster rollout of actionable dashboards
Quicker response to forecast needs
Decision confidence
Intuitive, self-service dashboards
More time spent on strategic planning
Looking ahead
Broaden coverage
Embed behavioral trends across electric and gas systems
Data-driven planning
Support clean energy transition and grid readiness
Dashboard optimization
Deliver insights faster and more efficiently