The household photovoltaic energy storage monitoring system based on AI algorithm is an intelligent energy management solution. It uses artificial intelligence technology to monitor photovoltaic power generation, energy storage status and household electricity consumption in real time, and uses machine learning to optimize energy scheduling. The system has functions such as power generation and power consumption prediction, intelligent charging and discharging control, and anomaly detection. It can maximize the self-consumption rate, reduce electricity bills and extend battery life. Combined with edge computing and digital twin technology, the system provides economical and reliable home energy management while ensuring data security, helping users to efficiently use renewable energy and realize intelligent and low-carbon electricity consumption.