A unifying review of edge intelligent computing technique applications in the field of energy networks.

Edge intelligent computing has received extensive attention from all walks of life and is widely used in many application scenarios. Recently, edge intelligent computing technique applications for energy networks have become hot topics in both scientific research and industry. However, some unique problem complexities and challenges have emerged and require advanced approaches. This article comprehensively surveys edge intelligent computing techniques for model training methods, application deployment and optimization in the field of energy networks. We review the target identification, anomaly detection and airborne light detection and ranging point cloud techniques and discuss their research statuses. We further discuss a set of possible future opportunities and new perspectives on addressing the challenges. [ABSTRACT FROM AUTHOR]