How Weather Forecasts Cut Energy Bills

June 9, 2015
Forecasters can now pinpoint weather for every 500 meter by 500 meter pixel on the map — five football fields by five football fields. How can utilities use this granular forecasting to improve efficiency and cut energy bills?

How can modern-day weather forecasting, along with data analytics, help utilities save money for themselves and consumers? Andy Rice, vice president of product and analytics for WSI, explains in this podcast that load forecasting now involves analyzing big data. Precise and detailed weather data can help utilities anticipate loads and react in ways that save money.

About the Author

Lisa Cohn | Contributing Editor

I focus on the West Coast and Midwest. Email me at [email protected]

I’ve been writing about energy for more than 20 years, and my stories have appeared in EnergyBiz, SNL Financial, Mother Earth News, Natural Home Magazine, Horizon Air Magazine, Oregon Business, Open Spaces, the Portland Tribune, The Oregonian, Renewable Energy World, Windpower Monthly and other publications. I’m also a former stringer for the Platts/McGraw-Hill energy publications. I began my career covering energy and environment for The Cape Cod Times, where Elisa Wood also was a reporter. I’ve received numerous writing awards from national, regional and local organizations, including Pacific Northwest Writers Association, Willamette Writers, Associated Oregon Industries, and the Voice of Youth Advocates. I first became interested in energy as a student at Wesleyan University, Middletown, Connecticut, where I helped design and build a solar house.

Twitter: @LisaECohn

Linkedin: LisaEllenCohn

Facebook: Energy Efficiency Markets