Recent Energy Companies Integrate DeepSeek Large Language Models
Recently, multiple energy companies have integrated DeepSeek large language models.
On February 15th, China Huaneng Group completed the localized deployment of DeepSeek models, launching the “Ruizhi Xiaoneng” AI assistant integrated with the “iHN+” mobile portal to enhance daily operations and management.
The “three oil barrels” (major Chinese oil companies) also recently announced that they have completed private deployments of DeepSeek models, connecting to the Kunlun LLM, Great Wall LLM, and “Haineng” AI models respectively. China Southern Power Grid recently completed local deployment of DeepSeek models to upgrade the “Dawatt” model system, enhancing intelligence in the power sector. State Grid’s subsidiary, State Grid Information & Communication Industry Group, has integrated DeepSeek into its Model Service Cloud (MSC) platform to improve intelligent production capabilities.
DeepSeek Offers Multiple Intelligent Solutions for Energy Companies
DeepSeek provides energy companies with new development approaches, primarily in technological innovation, business expansion, efficiency improvement, and sustainable development.
On the evening of February 14th, Sinochem Group officially announced that its AI platform had successfully integrated DeepSeek models, including DeepSeek-R1 and DeepSeek-V3.
According to reports, through DeepSeek deployment, Sinochem can significantly enhance intelligence in the petrochemical industry. For example, using DeepSeek’s deep reasoning capabilities, companies can optimize production processes, improve efficiency, and reduce energy consumption and costs. Additionally, DeepSeek’s applications in oil reservoir development, seismic data processing, and chemical product research can help companies achieve breakthroughs in complex geological data processing and product development.
DeepSeek can analyze power market demands, price fluctuations, and policy changes to provide market forecasting and trading decision support for energy companies. For instance, China Southern Power Grid uses DeepSeek to optimize power dispatch and improve grid operational efficiency.
As an AI platform with powerful algorithmic optimization capabilities, DeepSeek provides Southern Power Grid with more precise and efficient data analysis and processing solutions. This means Southern Power Grid can better address complex power system issues in daily management while improving operational efficiency through intelligent means. The power industry urgently needs efficient technical support to face growing electricity demand and increasingly complex power networks, and DeepSeek’s introduction undoubtedly becomes part of the solution.
DeepSeek can serve as an internal knowledge base and intelligent Q&A system, helping employees quickly access information and improve work efficiency. For example, on February 13th, it was reported that NARI’s independently developed “Huadian Ruisi” digital platform immediately integrated DeepSeek, enhancing the platform’s capabilities in intelligent Q&A and document analysis to provide smarter, more precise, and more professional services, supporting intelligent deployment across various energy types and digital business scenarios.
Moving forward, as large model technology continues to evolve, NARI will further expand AI technology research in knowledge expert systems, smart office, and intelligent testing based on the “Huadian Ruisi” digital platform, continuously developing related AI technology products to support the construction of “Digital Intelligent Huadian.”
DeepSeek’s applications in the energy sector are extensive and diverse, from production optimization to equipment management, supply chain optimization to market analysis, digital transformation, and risk management. Through its powerful data analysis and predictive capabilities, DeepSeek provides comprehensive intelligent solutions for energy companies, helping them improve efficiency, reduce costs, optimize operations, and gain advantages in competitive markets.
What More Can DeepSeek Do for the Energy Industry?
DeepSeek has already demonstrated extensive application potential in the energy industry, with more room for expansion in the future. Imaginatively, DeepSeek could provide powerful support for energy product development. For example, in new energy battery design, engineers could describe basic performance requirements and dimensional constraints, allowing DeepSeek to generate multiple design concepts and preliminary solutions. This not only shortens the time from idea to solution formation but also discovers new material combinations and structural designs through simulation analysis, thereby increasing energy density and reducing costs.
In the new energy vehicle sector, DeepSeek can deepen data analysis and market insights. It can process massive amounts of market data, user feedback, and technical R&D data to precisely extract key information. In the new energy vehicle market, DeepSeek can provide data support for corporate market strategies through comprehensive analysis of sales data, policy directions, and consumer preferences. Additionally, it can discover potential technical issues and optimization directions through deep mining of experimental data.
In production and manufacturing, DeepSeek can implement intelligent production scheduling, reasonably arranging production tasks based on order requirements, raw material inventory, and equipment capacity to maximize production efficiency. It can also predict failures in advance by monitoring equipment operation data in real-time, avoiding production interruptions.
For new technologies like DeepSeek, it’s essential to both fully unleash scenario vitality by creating more “testing grounds” for new technology applications and timely summarize and extract lessons from scientific and technological innovation at the strategic level. DeepSeek has broad application prospects in the energy industry and is expected to further promote intelligent and digital transformation in the energy sector. For example, power market operating logic will shift from “experience-driven” to “algorithm-driven,” achieving more precise resource scheduling and market transactions. Additionally, DeepSeek’s open-source nature will promote global technology sharing and innovation in the energy industry.
