Doosan Enerbility Shares 'AI for Operations and Maintenance' with Power Companies, Laying Groundwork for Digital Services
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- 2026-11-15 14:48:09
- Updated
- 2026-11-15 14:48:09

[Financial News] Doosan Enerbility shared technologies for operating and maintaining power generation facilities using artificial intelligence (AI) with major power companies. This lays the groundwork for providing digital services as a follow-on business to the supply of power generation equipment such as gas turbines.
Doosan Enerbility said on the 15th that it had invited representatives of major domestic power companies and industry and academic experts to its Changwon headquarters on the 12th for a power generation operations technology exchange meeting. The meeting has been held annually since 2022 to share experience in operating power generation facilities and the latest technologies with customers.
At this year's meeting, participants discussed the status of combined-cycle power generation projects and strategies for responding to supply needs, and introduced technologies using AI, including AI-based remote monitoring and diagnostics, AI-assisted detection of microcracks, and the development and use of AI data in the power generation sector.
The participants also shared Doosan Enerbility's self-developed predictive diagnostics solution, PreVision, as well as AI-based nondestructive testing and operations and maintenance technologies that use technical information on power generation facilities. On the following day, the 13th, they toured Doosan Enerbility's gas turbine plant and its testing and training center for GUARDIAN, the company's self-developed control system for power generation facilities.
Doosan Enerbility's digital solutions business is behind its annual gatherings of power companies and industry and academic experts. The services are being developed in tandem with expanded supply of power generation equipment, led by gas turbines. They support stable operations and greater maintenance efficiency through technologies such as predictive maintenance, which analyzes operating data from power generation facilities to detect signs of abnormalities early, and AI-based nondestructive testing.
“It is becoming increasingly important to integrate operating data and AI technology with our experience in manufacturing and maintaining power generation equipment,” said Son Seung-woo, head of Doosan Enerbility's Power Services Business Group. “We will continue to share the field experience and technology needs of our power company customers, and use them as a basis to advance digital service technologies that support stable operations.”
[email protected] Kim Yun-ho Reporter