Papers
1
Total Citations
4
H-Index
1
About
Qi Zhong is a leading researcher at the intersection of energy systems and artificial intelligence, with a primary focus on smart microgrid optimization, demand-side management, and the application of advanced metaheuristic algorithms. Their most notable contribution is the development of a robust optimization framework that integrates robotic process automation with grey wolf optimization to address the unpredictability of renewable generation and fluctuating load demand in microgrids. This pioneering work, published in 2025 and already garnering 4 citations, demonstrates Zhong’s ability to merge cutting-edge computational techniques with real-world energy challenges, offering a scalable solution for cost-effective and reliable energy management. By tackling the critical issue of variability in renewable energy sources, Zhong’s research provides a practical pathway toward more resilient and sustainable power systems. Their work is particularly impactful for researchers and engineers seeking to enhance grid stability through intelligent automation, positioning Qi Zhong as an emerging authority in the field of smart energy systems and computational optimization.
Research Focus
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Top Papers
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