Abstract: As electric vehicles (EVs) gain popularity, their interaction with the power system cannot be overlooked. Therefore, there is a growing need for accurate EV load data to facilitate precise ...

Abstract: Accurately clustering and labeling anomalous time series load data from large databases remains challenging due to close similarity and subtle deviations between each observation. This paper ...

Reliance on fossil fuels is almost unavoidable — at least for now. By Evan Gorelick It’s been a big week for A.I. data centers. That means it’s also been a big week for coal and natural gas. Nvidia ...

Gain insights from all your data by querying across your entire data estate—SQL Server, Azure SQL Database, Azure SQL Data Warehouse, Azure Cosmos DB, MySQL, PostgreSQL, MongoDB, Oracle, Teradata, and ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

This lab guides you through the process of creating and loading a data warehouse in Microsoft Fabric using T-SQL. You will create a workspace, a lakehouse, ingest data, create warehouse tables and ...

As the complexity of microgrid systems, the randomness of load disturbances, and the data dimensionality increase, traditional load frequency control methods for microgrids are no longer capable of ...

The famous marketing slogan about how a diamond is forever may only be a slight exaggeration for a diamond-based system capable of storing information for millions of years – and now researchers have ...