Service Type: Data Analytics and Quantitive Solutions
Project: Retail Electric Load Forecasting
Context:
Our client needed to manage its purchases of wholesale power based on expected customer demand.
Approach & Results:
We analyzed customer data for trends and patterns, such as demand by weather, day of week, customer zip code, etc. We then applied predictive analytics to a forecasted customer base to understand demand and optimize forward purchases.
