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Filtering by: Creator Lin, Austin Creator Mathieu, Johanna Discipline Engineering

SHIFDR: Sub-metered HVAC Implemented For Demand Response
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Creator:

Lin, Austin and Mathieu, Johanna

Description:

The Sub-metered HVAC Implemented for Demand Response (SHIFDR) dataset is a massive dataset that captures the response of individual commercial building HVAC system components to demand response events. The dataset includes device-level power consumption during demand response events as well as during normal operation. We have organized the data into subsets, with each subset containing data from buildings in different parts of the world. Kindly refer to the README file within each subsection for specific information about how data is organized. Please reach out if you have data that you would like to share, find any mistakes in the data, or have any questions. We are always trying to improve SHIFDR.

Discipline:

Engineering

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