Pascal in Smart Grid

Cnix’s digital twin, Pascal, can also be used in smart grids. If future electricity production can be predicted in solar power generation systems — a key component of smart grids — it can bring numerous advantages to the renewable energy market. For example, electricity production based on forecasts allows for stable power supply planning, which in turn provides a foundation for consumer-friendly pricing policies. Additionally, predicting surplus energy production enables more active peer-to-peer (P2P) energy trading.

Cnix’s digital twin, Pascal, can contribute to the activation of the smart grid market. In today’s climate, where extreme weather changes are becoming more frequent, Pascal—an AI-based digital twin—offers greater flexibility than numerical models, which make it difficult to add or remove parameters. With Pascal, parameters can be easily added or removed, allowing it to more effectively reflect the weather characteristics and system features of regions where solar power systems are installed. This enables the development of a more flexible solar irradiance forecasting system.

Cnix’s data service platform aims to support your efforts in reducing carbon emissions.