Yuneng Technology announced on April 14 that it is accelerating the construction of a smart energy + AI ecosystem, deeply integrating AI technology into product innovation, energy management, and upgrading office intelligence. The company is optimizing its household energy storage products’ charging and discharging strategies using AI algorithms to maximize their value. Additionally, its innovative power station design software, APdesigner, incorporates AI image recognition technology to enhance user interaction, providing smarter and more efficient solutions for the power station design industry.
The self-developed AI customer service robot, equipped with DeepSeek (a private deployment), helps better understand user inquiries and offers precise responses. This product can connect to different large models in accordance with various national compliance requirements and switch between them as needed. The company’s subsidiary, Lingchu Yuneng, actively supports the group’s AI transformation strategy by adopting technologies like AI digital personnel and auxiliary programming to improve service response times.
Yuneng Technology is focusing on user-side energy storage applications, responding to the increasing demand in the energy sector. Recent reports highlight that the company is also addressing the growing interest in large-scale projects, shifting focus from residential solar solutions.
In other industry news, the solar photovoltaic sector is witnessing patent disputes between China and the U.S., with Chinese new energy companies striving to break through the patent barriers set by American giants. Furthermore, Yuneng Technology celebrated its 15th anniversary, reaffirming its commitment to innovation and progress in the energy sector.
For more insights on energy storage applications and developments, please refer to various industry updates and reports available on the Polar Star Energy Network.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/yuneng-technology-leverages-ai-algorithms-to-optimize-home-energy-storage-charging-and-discharging-strategies-for-maximum-value/
