To overcome the combined issues of intricate weather feature dynamics and insufficient data under extreme conditions, a short-term wind power prediction framework is presented, leveraging a modified time-series generative adversarial network (TimeGAN) alongside a GAT-Crossformer network. First, raw data corresponding t...
Shi-Xian Pan, Xu-Dong Hu, Zi-Kang Xian et al.· 2026 6th Power System and Gr...· 0 citations
Decarbonizing regional power systems is essential for achieving China’s carbon-neutrality targets. However, analyses conducted only at the national or provincial level may overlook the functional interdependence among electricity demand, generation structure, and cross-provincial power transfers. This study examines th...
Fan Zhang, Yan-Lu Huang, Zi-Fei Wang et al.· Energy Efficiency· 0 citations
An edge AI‐powered power converter (EAI‐PC) hardware platform that utilizes locally deployed edge intelligence to establish bidirectional data exchange between converter low‐level control and EAI upper‐layer command dispatch and features an end‐to‐end AI‐to‐converter closed‐loop deployment framework.
Ping-Yang Sun, Fan Zhang, Zi-Hang Qiu et al.· Energy Conversion and Econom...· 0 citations
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