Author

Baolian Liu

h-index 1 View on Semantic Scholar

We have 2 of 7 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

T-HMM-Based Transformer Fault Diagnosis in Grid-Connected Renewable Energy Systems

Experimental results demonstrate that the proposed T-HMM accurately tracks state evolution trends and effectively identifies fault categories, achieving significantly superior state recognition accuracy and multi-step prediction hit rates compared to conventional HMM, with substantially reduced mean absolute error.

Wei Li, Shanyun Gu, Lei Shen et al. · Energies · 0 citations

Open access 2026

A Hybrid Deep Learning Framework with Adaptive Signal Decomposition for Enhanced Ultra-Short-Term Wind Power Forecasting in Power System Operations

A novel hybrid intelligent framework—integrating Improved Lotus Effect Algorithm, Variational Mode Decomposition, and ensemble deep learning—specifically designed for ultra-short-term wind power prediction in energy dispatch applications is engineers, which employs elite chaotic opposition-based learning to autonomously optimize VMD decomposition levels.

Lei Shen, Qifeng Xiang, Q. Gao et al. · Energy Engineering · 0 citations