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 | Synapse
March 3, 2026
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.