Probabilistic power flow (PPF) calculation is an important power system analysis tool considering the increasing uncertainties. However, existing calculation methods cannot simultaneously achieve high ...

For this scenario, “Input Data” in the architecture diagram refers to text strings containing the user questions to match with a list of FAQs. The scenario is designed for the Scikit-Learn machine ...

A machine learning workflow with TensorFlow Our architecture consists of training and classification data streamed through Kafka and stored in a persistent, queryable database.

Adding Flow.ai’s state-of-the art technology advances Khoros’ conversational AI and machine learning (ML) capabilities, data science expertise, and reflects the Company’s continued ...

Probabilistic power flow (PPF) calculation is an important power system analysis tool considering the increasing uncertainties. However, existing calculation methods cannot simultaneously achieve high ...