The intelligent charging pile load forecasting system developed by Zhejiang Xindiantu Digital Technology Co., Ltd accurately predicts the charging load for the next 24 hours by analyzing historical data, weather conditions, holiday factors, etc., providing scientific basis for power distribution.

The system has a prediction accuracy of 92%, for example, it can predict in advance that the load of the charging station during the Friday evening peak will reach 80%, and notify the operator in advance to prepare emergency charging equipment; It is predicted that "rainstorm will lead to a 30% decrease in the charging capacity", and the scheduling of operation and maintenance personnel can be adjusted. A certain power company used the predicted data to optimize the power grid scheduling in the charging pile area, resulting in a 75% reduction in transformer overload accidents.

For users, the system will display the "congestion level of charging stations in the next hour" on the APP, such as "crowded (80% occupancy)" and "loose (30% occupancy)", to help users travel during off peak hours. The load forecasting system makes power distribution more accurate and resource utilization more efficient.