Case Study: Central Hudson Gas & Electric Corporation forecasts energy demand with JMP

Central Hudson Gas & Electric delves into 50 years of data to help project tomorrow’s energy requirements

Central Hudson Gas & Electric Corporation needed a better way to analyze nearly 50 years of hourly load and temperature data to understand energy-use patterns by customer class and improve rate-setting decisions. Cost-of-service analyst Larry Arvidson used JMP statistical discovery software from SAS to work with the large, complex data sets that spreadsheets could not handle effectively.

Using JMP, Central Hudson Gas & Electric Corporation built and refined descriptive and predictive models to visualize usage trends, identify outliers, and forecast hourly demand across customer groups. The result was a clearer understanding of how different customer classes contribute to system load, plus more accurate demand forecasting and a stronger foundation for cost-efficient service planning.

Central Hudson Gas & Electric Corporation

Larry Arvidson

Cost-of-Service Analyst