IoT enabled sustainable energy management system with renewable power forecasting and adaptive load strategy using walrus optimization algorithm and continual spatio-temporal graph convolutional network

Key Points

• Energy management improves significantly with the integration of IoT technologies and renewable power forecasting.
• Key evidence indicates that the walrus optimization algorithm enhances efficiency by 25% compared to traditional methods.
• Analysis employing continual spatio-temporal graph convolutional networks reveals superior forecasting accuracy over one month.
• These findings suggest new opportunities for optimizing energy systems through advanced technological applications.