G. Manikanta

Machine learning-based carbon intensity estimation in smart grids with behind-the-meter distributed energy resources: A comprehensive review and future perspectives

The rapid transition toward low-carbon energy systems has intensified the need for accurate carbon intensity (CI) estimation at high temporal resolutions. The CI estimation is intended to support carbon-aware energy management along with decarbonization strategies. Conventional a...