This paper presents a solution for energy storage system capacity configuration and renewable energy integration in smart grids using a multi-disciplinary optimization method. The solution involves a hybrid prediction framework based on an improved grey regression neural network (IGRNN), which. . Power grid peak load regulation and energy storage power load,especially in the peak load and valley load periods. Specifically,the adjustment range of power supply in one day should be high enough having service is also deepening gradually [4, 6, 7, 8, 9, 10]. Energy storage alleviates peak demand, stabilizes grid frequency, enhances resilience against outages, and supports renewable energy integration. The technology offers scalable solutions, complemented by advancements. .
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