![]() |
| Baise Power Supply Bureau of Guangxi Power Grid uses drones and robots to conduct live-line inspections of insulators. |
A
range of these innovations was showcased by China Southern Power Grid during
the 23rd China-ASEAN Expo and the China-ASEAN Business and Investment Summit in
Nanning on Monday (Sept. 21, 2026).
Among
the technologies presented was the DaWatt Lao Language Large Language Model
(LLM) for the Energy and Power Sector V2.0, an AI-based language model
developed specifically for energy and power-sector applications.
The
system has been deployed by Electricité du Laos Transmission Company Limited
(EDL-T). Its algorithms were optimized to adapt to Laos' mountainous and
rainforest terrain, enabling the system to process thousands of power-line
inspection images in a relatively short time.
During
inspections of four transmission lines, the system processed around 26,000
drone images and identified more than 3,600 equipment defects.
The
deployment illustrates how digital technology can support power-grid
maintenance in challenging geographical environments, while potentially improving
the speed and efficiency of inspection work.
Building a Regional Knowledge Ecosystem
The
cooperation is extending beyond technology deployment. Guangxi Power Grid Co.,
Ltd. is developing multilingual professional datasets for the power sector covering
ASEAN countries including Laos, Vietnam and Malaysia.
Liu
Ying, General Manager of the company's Digitalization Department, said the
initiative draws on the DaWatt foundation model to develop energy and power
models tailored to ASEAN languages and practical industry needs.
Human-capital development is another important
component.
The
China-ASEAN Institute of Energy, jointly established by Guangxi Power Grid and
Guangxi University, is developing an industry-academia training model that
combines academic learning with practical experience.
So
far, two cohorts totaling 53 students from ASEAN countries have enrolled in the
program.
The
cooperation is also moving from one-way training toward joint innovation.
Guangxi Power Grid and the Royal Academy of Cambodia have jointly established a
laboratory focusing on artificial intelligence and safety equipment.
Meanwhile, exchanges with Electricité du Laos are being conducted to explore ways to improve power-supply reliability.
.jpeg)
Bahe Wind Farm in Tiandeng County, Guangxi,
where wind turbines stand amid the region's distinctive karst landscape.
AI Tackles the Language Barrier
Language
remains a practical challenge in cross-border technical cooperation,
particularly when discussions involve highly specialized power-sector
terminology.
To
address this issue, Guangxi Power Grid has developed an AI-powered translation
platform backed by a specialized database containing terminology for more than
1,800 types of power equipment.
The
platform supports translation between Chinese and English, Chinese and Lao, and
Chinese and Vietnamese.
During
a recent training program involving Chinese and overseas engineers, the system
enabled the automatic generation of bilingual training materials and provided
real-time speech translation.
The
technology is designed to make technical exchanges faster and easier to follow,
particularly when participants must work across different languages and
specialized vocabularies.
Guangxi
Power Grid has also established an international talent pool covering
management, technical and skilled personnel. The company has developed 24 hours
of international-affairs training and 20 short-form video courses.
"This
year, we will also explore joint postgraduate programs with universities in
ASEAN countries," said Sun Xiaohua, Deputy Director of the Human Resources
Department at Guangxi Power Grid.
From Guangxi to ASEAN
Looking
ahead, Guangxi Power Grid plans to further develop a model based on
"R&D in Beijing, Shanghai and Guangdong, integration in Guangxi, and
application in ASEAN."
The
company will continue expanding its multilingual power-sector datasets while
exploring a "Token Goes Global" model for AI applications in the
energy sector.
Under
the concept, computing resources and AI models would be based in Guangxi, while
knowledge-based services could be delivered to markets across ASEAN.
The
approach signals a broader evolution in China-ASEAN energy cooperation—from
infrastructure and conventional technical exchanges toward a model increasingly
built around technology, knowledge, talent and digital innovation.
The
initiative is also intended to contribute to green development under the
framework of the China-ASEAN Free Trade Area 3.0. (*/red).
.jpeg)