Research on power plant security issues monitoring and fault detection using attention based LSTM model
Abstract Overview For Photo Voltaic (PV) arrays and Wind systems to operate as efficiently and effectively as possible, fault detection is essential. It is possible to improve the safety of renewable energy systems and guarantee that the service will continue uninterrupted if problem detection and d...
Saved in:
Main Authors: | Shengda Wang, Zeng Dou, Danni Liu, Han Xu, Ji Du |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-01-01
|
Series: | Energy Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42162-025-00473-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on new energy power plant network traffic anomaly detection method based on EMD
by: Danni Liu, et al.
Published: (2025-01-01) -
REVIEW OF MONITORING TECHNOLOGIES USED IN HYBRID PHOTOVOLTAIC SYSTEMS
by: TEODOR POP, et al.
Published: (2024-01-01) -
A Design of Fault-Tolerant Battery Monitoring IC for Electric Vehicles Complying With ISO 26262
by: Byambajav Ragchaa, et al.
Published: (2024-01-01) -
AC Fault Mechanism and Impact Analysis of Offshore Wind Power Connected to Flexible and Direct Systems
by: Wanli JIANG, et al.
Published: (2025-01-01) -
A feasibility study of combining solar/wind energy to power a water pumping system in Jordan's Desert/Al-Mudawwara village
by: Zakaria Al-Omari, et al.
Published: (2025-02-01)