Papers
3
Total Citations
73
H-Index
3
About
Lefeng Cheng is a pioneering researcher at the intersection of energy systems, artificial intelligence, and cyber-physical-social systems (CPSS). His work focuses on reimagining how complex multi-energy networks can be intelligently managed through parallel intelligence and knowledge automation. Cheng’s most influential contribution is the conceptualization of a "smart energy robotic dispatcher," a novel framework that integrates CPSS principles to automate decision-making in energy internet systems. His 2019 paper on smart dispatching for energy internet with complex CPSS networks has garnered 28 citations, while his 2018 works on parallel CPSS-based robotic dispatchers have accumulated 23 and 22 citations respectively. These publications lay the groundwork for a new generation of autonomous energy management, where human operators are augmented by robotic agents capable of real-time optimization across cyber, physical, and social domains. Cheng’s research addresses critical challenges in multi-energy dispatching, knowledge automation, and system resilience, positioning him as a key figure in the evolution toward intelligent, self-adaptive energy infrastructures. His work is essential reading for anyone interested in the future of smart grids, digital twins, and AI-driven energy systems.
Research Focus
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