Beat the Peak

By using the Beat the Peak app, participants receive notifications to their mobile device announcing upcoming alert periods. The app will then guide participants as they prepare to take action to lower electricity usage in their household during the over a peak period of a few hours.

BTP app

These peak timeframes, in which our cooperative members use an abundance of electricity all at the same time, are called “peak” hours. Put more simply, peaks occur when the majority of buildings on an electrical grid are using the most electricity or power at the same time (mostly during the afternoon hours during the summer months and early mornings during winter months). 


The power cost is higher during these times because of the additional demand for electricity resulting in the need for additional generation.

This is why on very hot or very cold days during the peak timeframe, Corn Belt Energy may send alerts to through the Beat the Peak app to ask that you to reduce electricity usage. Beat the Peak alerts may be called any time throughout the year. Members are encouraged to minimize the amount of electricity during these control periods in ways such as avoiding use of appliances, adjusting thermostats, and turn off unnecessary items.


Your active participation during these peak times, helps to keep Corn Belt Energy’s electric rates stable and affordable.




App privacy information

Upon loading the app, you will be asked to provide a phone number.  This is simply so we can gauge repeat participation in future events.  If you do not want to share this, you are welcome to skip this.  Phone numbers collected for this will not be shared with outside parties or used for marketing.  The sole purpose of this collected data is to identify if an app user is participating in different ‘Beat the Peak’ events.  Any answers that are provided to ‘How are you beating the peak’ will be saved in a report and linked to this phone number.  This information will simply be used to estimate aggregate system-wide power savings based on responses.  This benign data will be analyzed for program participation and improvement over time.