Back to search

Article

A learning-driven algorithm for maintenance team and UAV collaboration in restoring power network

2025-01-13

Abstract excerpt

<title>Abstract</title> <p>Power networks are highly vulnerable to disruptions caused by natural and man-made disasters, necessitating prompt restoration of damaged power supply. This research addresses the challenge of efficiently restoring large-scale power networks, which often involve numerous unknown or uninspected faulty nodes. Leveraging advancements in unmanned aerial vehicles (UAVs) technology, this stud...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
af545266-90e9-5b2d-bb31-557665575775
DOI
10.21203/rs.3.rs-5708499/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A learning-driven algorithm for maintenance team and UAV collaboration in restoring power networkDOI 10.21203/rs.3.rs-5708499/v1
Select a neighboring publication to make it the new centre.