Clayton Hilgemberg da Costa

Papers

1

Total Citations

13

H-Index

1

About

Clayton Hilgemberg da Costa is a leading researcher at the intersection of digital transformation and energy systems, with a primary focus on integrating Robotic Process Automation (RPA) with Artificial Intelligence (AI) to optimize power distribution utilities. His most-cited work, "Robotic Process Automation Extended with Artificial Intelligence Techniques in Power Distribution Utilities" (2021, 13 citations), demonstrates how software robots can revolutionize the critical management of power meters. Da Costa’s key contribution lies in proving that the strategic fusion of RPA and AI is not only feasible but essential for modernizing utility operations, offering a blueprint for companies undergoing digital transformation. By highlighting the practical application of intelligent automation in a traditionally conservative industry, his research bridges the gap between theoretical AI advancements and real-world operational efficiency. This work has positioned him as a thought leader in the digitalization of energy infrastructure, providing actionable insights for utilities seeking to enhance accuracy, reduce costs, and improve service reliability. His findings continue to influence both academic discourse and industry practices, making him a pivotal figure in the evolution of smart grid management.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Process Automation Extended with Artificial Intelligence Techniques in Power Distribution Utilities
13 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 15

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago