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Coincident Peak Notifications

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Coincident peak events can account for 30-60% of electricity costs for facilities. This challenge is particularly acute in regions with demand-based pricing structures—such as Massachusetts, California, New York, New Jersey, and Ontario—and for facilities with variable load patterns or seasonal energy usage that align with grid peak periods. A facility can manage these expenses by reducing demand during peak hours. However, the challenge for many facility and energy managers is identifying the exact hour to curtail loads or dispatch a distributed energy resource like energy storage or a generator. GridPredict, our Coincident Peak notifications services takes the guesswork out of forecasting grid peak events. Our proprietary software processes over one billion data points daily, and our team of energy experts continuously monitor and adjust to supplement these software predictions. Access the very same technology we rely on to operate and optimize our own battery systems.