Conceptio › Archive › University of Virginia Dataverse Dataverse OAI Archive
University of Virginia Dataverse Dataverse OAI Archive metadata only CC BY 4.0

Household-level disaggregated hourly synthetic residential energy use profiles for the United States

Thorve, Swapna
University of Virginia Dataverse Dataverse OAI Archive · Datasets · License: CC BY 4.0
Open Source ↗
computer-and-information-scienceenvironmental-sciences
Efficient energy consumption is crucial for achieving sustainable energy goals in the era of climate change and grid modernization. Thus, it is vital to understand how energy is consumed at finer resolutions such as households in order to plan demand-response events or analyze the impacts of weather
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1042332
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive