Industry Overview
With the massive integration of renewables like wind and solar, power systems are rapidly evolving from traditional energy networks toward a smart and integrated power grid. In this transition, AI is moving beyond its traditional "auxiliary role" in grid stability check. It now acts as the core engine, based on data-driven AI algorithms, fully penetrating the entire power system. AI establishes a "sense-analyze-decide-execute" closed-loop framework across critical domains from grid planning and dispatch to asset management, field operations, and customer service, providing key technologies to address the challenges of high volatility, high complexity, and high interactivity, and driving the power sector's transformation and high-quality development.
Challenges
Heavy O&M Workload
Widespread substations result in manual inspection being inefficient, costly, and error-prone, leading to high omission rates and insufficient fault detection capabilities.
Inadequate Personalized Services
Diversifying customer demands necessitate cross-domain expertise and differentiated service models. Conventional approaches are no longer adequate.
Limitations of Legacy Dispatching
High-proportion integration of renewables introduces complexity and uncertainty to the power grid. Conventional manual dispatching cannot handle complex operational demands.
Solutions
Related Products
Application Scenarios
Intelligent Substation Inspection
AI-powered inspection uses deep learning vision for precise fault identification. This system provides 24/7 monitoring, boosting 3–5x higher efficiency over manual checks.
Intelligent Customer Service Assistant
The intelligent customer service assistant boosts agent efficiency with capabilities like voice interaction, situational awareness, emotion recognition, and intelligent Q&A. It streamlines case handling by automatically generating work order summaries.
Intelligent Generation of Power Supply Solutions
For complex deployments, such as new high-voltage or charging pile installations, the NLP-powered power supply solution agent reduces generation time from three days to under 10 minutes, delivering a faster, more personalized service experience.
Intelligent Power Grid Dispatching
The AI-powered solution enables key applications such as grid load forecasting, renewable output prediction, and dispatch planning, which are essential for cutting renewable energy curtailment and maximizing renewables absorption. This boosts production efficiency and ensures grid stability.
Use Cases
Grid Company
Ascend empowers a leading grid company to build a 100B industry model, transforming its core operations and developing new productivity. Smart inspection doubles tower inspection efficiency, covering 10 million towers annually. AI empowers intelligent Q&A with over 90% response rate to boost satisfaction.
Grid Company
Ascend assisted a power grid company in developing a specialized electric power model, powering over 100 AI apps across 10+ domains. It has been adopted in smart inspection, AI customer service, and load forecast to advance the new energy and power systems.
Power Generation Group
Powered by Ascend AI infrastructure, a leading power generation group has built a cloud-edge-end coordinated system to improve renewable energy power prediction. Pilot programs have significantly improved the accuracy and efficiency of 15-minute and 24-hour power predictions. This advancement drives the clean, electrified, and intelligent evolution of energy.