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AI and satellite imagery to prevent and reduce network outages caused by vegetation

Investment plan Grid mapping Non-technical losses Grid operation
Start date
2021
Project status
Ongoing
Country
Lomé, Togo
Cost
195,5K€
Project sponsored by
Digital Energy
AI and satellite imagery to prevent and reduce network outages caused by vegetation
By 
Yann Raoult

Investment plan Grid mapping Non-technical losses Grid operation

Start date
2021
Project status
Ongoing
Country
Lomé, Togo
Cost
195,5K€

CEET/Aplines team

A project lead by CEET (Togo) & Aplines (SE)


APLINES, a Schneider Electric Company, designs Asset Management solutions for Electric Utilities. Aplines uses innovative inspection techniques and AI to evaluate the health and criticality of assets and vegetation. Customers across the world use Aplines to optimize OPEX and CAPEX and to meet evolving compliance requirements.
Compagnie Energie Electrique du Togo (CEET) produces, distributes and delivers electricity in Togo.

URL de Remote Videos
“Aptimize provides considerable support for decision making and brings greater efficiency in maintenance operations such as inspection, diagnosis and pruning” says Yann Raoult, president of Aplines.
Context

In the Lomé region, 50 % of all power cuts are caused by vegetation such as fallen trees or branches on or near power lines. Prevention and corrective maintenance are costly and sometimes inefficient.

“Improving the quality of service for our customers and mitigating our financial losses are key concerns” says Ahamed Boukari, Project Manager at the Compagnie Énergie Électrique du Togo (CEET).

 

Objectives

Aptimize is a Software as a Service (SaaS) asset management solution offering a vegetation monitoring module. Based on artificial intelligence and satellite imagery the application assesses the risk posed by vegetation on electricity networks.

 

Activities

The solution has been designed to be deployed worldwide in urban or rural environments and is fully customizable. In addition, Aptimize enables optimization of the maintenance programmes and grid investment from a cost/risk/benefit standpoint.

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