SMART MICROGRID TECHNOLGIES
PREDICTIVE ENERGY TOOLS
RenCast | Battery State of Charge (SoC)
SMART MICROGRID TECHNOLGIES
PREDICTIVE ENERGY TOOLS
RenCast | Battery State of Charge (SoC)
One of the biggest problems with renewable source plants is predicting how much energy will be generated in five minutes, tomorrow, next week, and so on. STAT-EI’s RenCast solution is one of the most secure and accurate predictive analytics tools developed to forecast renewable energy generation. RenCast is trained with the largest data set in the market and uses machine learning
to provide short- and long-term forecasting that is 95% accurate.
RenCast integrates with the PEACE, microgrid, and HOPES controller to enhance solar power plant efficiency and increase customer’s profit margin, with accurate forecasting to commit to sell more power to the grid.
Key benefits of RenCast:
- Plan and manage renewable energy generation
- Short- and long-term forecasting
- Predict energy generation
- Forecast distributed energy resource generation
- Improved resiliency
- Increased savings
Identifying the remaining charge or capacity is critical to real-time battery performance monitoring. Existing lithium-ion battery identification mechanisms face internal and external challenges to monitor lithium-ion batteries including solid electrolyte interface deposition on the electrode surface, and analog-to-digital module restrictions. STAT-EI’s battery SoC technology can monitor battery performance of any hybrid photovoltaic system in real-time. This monitoring includes battery health, capacity degradation analysis, can identify the battery’s aging, and can determine when the battery should be replaced.
STAT-EI’s predictive energy tools combine RenCast’s predictive analytics with the battery SOC knowledge to maximize renewable energy implementation efficiency and resiliency.
Key benefits of Battery State of Charge (SoC)
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Manage microgrid energy
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Real-time monitoring
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Safely operate
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Estimate state of health
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Store energy