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Challenge

As batteries gain importance, optimizing charging and discharging cycles is vital for their financial viability, aligning with energy supply and demand dynamics.
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Solutions

  • Merge primary utility data with secondary Regional Transmission Organizations (RTOs) data to forecast energy prices across the entire grid.

  • Enable automatic and remote control of battery operations through artificial intelligence.

 

RESULTS

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Grid Reliability

Better respond to peak demand and load variations, leading to a more reliable power grid.

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Economic Efficiency

Increase savings and revenue with optimized battery usage that aligns with energy market prices.

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Improved efficiency

Streamline operations through AI automation, reducing manual intervention and potential for human error.

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Market Participation

Enhance competitiveness in energy markets due to better price forecasting and battery management.

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Resilience

Strengthen grid resilience against disruptions through more flexible and responsive energy storage systems.

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Sustainability

Support renewable integration by efficiently managing energy storage, contributing to sustainable grid operations.

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