Hybrid methods such as CNN-GRU are well suited for applications in the wind and solar energy sectors because they handle fluctuating data patterns and improve prediction accuracy in renewable energy and smart grid applications.

Authors

• Person: Not available Organization: Springer
  Global perspectives on energy technology assessment and ...

Sources

• Global perspectives on energy technology assessment and ... link.springer.com Springer via serper

Referenced by nodes (4)

• renewable energy resources concept
• solar energy concept
• wind energy concept
• smart grid concept