Battery Automatic Control AI | Reducing Power Costs through Demand Forecasting and Charge/Discharge Optimization

For factories struggling with rising electricity costs and peak power overload! AI predicts the overall demand of the facility and automatically adjusts the charging and discharging of batteries and EVs.

ENES is an optimization AI system that automatically controls industrial storage batteries and EV groups to reduce power procurement costs. "I'm worried about exceeding peak power," "Even though I installed storage batteries, I can't manage them manually..." For those struggling with such issues, our demand forecasting AI automatically provides operations that maximize economic benefits. It eliminates the hassle of operation while ensuring reliable cost reductions. 【Recommended for these concerns】 ◆ The basic fees for high-cost contracted power do not decrease due to rising demand values ◆ Although storage batteries and EVs have been purchased, manual charge and discharge operations are impossible ◆ Even when a DR notification arrives, there is no room to quickly adjust equipment on-site <Reasons for being chosen> - High-precision demand and generation forecasting algorithms automatically generate optimal charge and discharge schedules - Flexible support from individual control at the facility level to Auto DR (automated VPP) that aggregates at the community level - Can be retrofitted to existing storage battery systems and PCS, significantly reducing initial installation hassle and costs *For more details, please refer to the catalog.

Management System