广
广州佰聆数据股份有限公司 Tech Stack
AI and big-data solutions for power-grid operations and energy dispatch
广州佰聆 builds AI and data-infrastructure products for China's power-grid sector. The stack spans PyTorch, TensorFlow, MindSpore, and PaddlePaddle — indicating deep investment in model training across multiple frameworks — alongside production systems (Kafka, RabbitMQ, Elasticsearch, Redis). Active projects focus on grid-operation forecasting, LLM research for energy-domain scenarios, and time-series prediction, suggesting the company is transitioning from traditional big-data platforms toward applied AI for grid management and dispatch optimization.
Tech Stack 86 technologies
Core StackPython PyTorch TensorFlow Linux Docker RabbitMQ Kafka Redis Elasticsearch JavaScript Angular Vue TypeScript webpack Axure RP Transformers MindSpore PaddlePaddle PowerPoint Visio MindManager Word Excel SQL HTML5 CSS ECharts Git Altium Designer Cadence+56 more
What 广州佰聆数据股份有限公司 Is Building
◆Challenges
- Power grid big data solutions
- Engineering problems in large language model deployment
- Grid operation forecasting
- Technical architecture optimization
- Integration deployment architecture planning
- Electricity marketing digitalization
- Complex electrical business requirements
- Cost control
- Avoiding audit risk
- Labor cost management
▲Active Projects
- Power grid big data solution development
- Vertical domain large language model research
- Scenario application development using large language model
- Grid operation time series forecasting
- Ai science computing model development and optimization
- Data collection and preprocessing for power industry scientific computing
- Model debugging and testing using existing deep learning frameworks
- Hainan region power dispatch project
- Ai project planning
- Ai solution design
Hiring Activity
Minimal50 roles · 0 in 30d
Department
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