Correction: Zhang et al. A Method Based on CNN–BiLSTM–Attention for Wind Farm Line Fault Distance Prediction. Energies 2025, 18, 3703

Authors

Institutions

Publication Details

Journal
Energies
Published
2026-01-21
DOI
https://doi.org/10.3390/en19020533
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correction: Zhang et al. A Method Based on CNN–BiLSTM–Attention for Wind Farm Line Fault Distance Prediction. Energies 2025, 18, 3703

Guangkai Zhou, Chen Zhang, Ming Zhang, Baoliang Liu et al.
Energies
Power Systems Fault Detection
article

Correction: Zhang et al. A Method Based on CNN–BiLSTM–Attention for Wind Farm Line Fault Distance Prediction. Energies 2025, 18, 3703

Guangkai Zhou, Chen Zhang, Ming Zhang, Baoliang Liu, Qingzhong Gao
article en

Abstract

No abstract available for this paper.
EnergiesVol. 19(2)
Shenyang Institute of Engineering (CN)
Affordable and clean energy
Openalex Percentile: Top 82%
Power Systems Fault Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.