OSTI.gov entry:
https://www.osti.gov/biblio/1854582/

Direct link to report PDF:
https://doi.org/10.2172/1854582

MLA:

Wilson, Eric J. H., Parker, Andrew, Fontanini, Anthony, Present, Elaina, Reyna, Janet L., Adhikari, Rajendra, Bianchi, Carlo, CaraDonna, Christopher, Dahlhausen, Matthew, Kim, Janghyun, LeBar, Amy, Liu, Lixi, Praprost, Marlena, Zhang, Liang, DeWitt, Peter, Merket, Noel, Speake, Andrew, Hong, Tianzhen, Li, Han, Mims Frick, Natalie, Wang, Zhe, Blair, Aileen, Horsey, Henry, Roberts, David, Trenbath, Kim, Adekanye, Oluwatobi, Bonnema, Eric, El Kontar, Rawad, Gonzalez, Jonathan, Horowitz, Scott, Jones, Dalton, Muehleisen, Ralph T., Platthotam, Siby, Reynolds, Matthew, Robertson, Joseph, Sayers, Kevin, and Li, Qu. End-Use Load Profiles for the U.S. Building Stock: Methodology and Results of Model Calibration, Validation, and Uncertainty Quantification. United States: N. p., 2022. Web. doi:10.2172/1854582.

APA:

Wilson, Eric J. H., Parker, Andrew, Fontanini, Anthony, Present, Elaina, Reyna, Janet L., Adhikari, Rajendra, Bianchi, Carlo, CaraDonna, Christopher, Dahlhausen, Matthew, Kim, Janghyun, LeBar, Amy, Liu, Lixi, Praprost, Marlena, Zhang, Liang, DeWitt, Peter, Merket, Noel, Speake, Andrew, Hong, Tianzhen, Li, Han, Mims Frick, Natalie, Wang, Zhe, Blair, Aileen, Horsey, Henry, Roberts, David, Trenbath, Kim, Adekanye, Oluwatobi, Bonnema, Eric, El Kontar, Rawad, Gonzalez, Jonathan, Horowitz, Scott, Jones, Dalton, Muehleisen, Ralph T., Platthotam, Siby, Reynolds, Matthew, Robertson, Joseph, Sayers, Kevin, & Li, Qu. End-Use Load Profiles for the U.S. Building Stock: Methodology and Results of Model Calibration, Validation, and Uncertainty Quantification. United States. https://doi.org/10.2172/1854582

Chicago:

Wilson, Eric J. H., Parker, Andrew, Fontanini, Anthony, Present, Elaina, Reyna, Janet L., Adhikari, Rajendra, Bianchi, Carlo, CaraDonna, Christopher, Dahlhausen, Matthew, Kim, Janghyun, LeBar, Amy, Liu, Lixi, Praprost, Marlena, Zhang, Liang, DeWitt, Peter, Merket, Noel, Speake, Andrew, Hong, Tianzhen, Li, Han, Mims Frick, Natalie, Wang, Zhe, Blair, Aileen, Horsey, Henry, Roberts, David, Trenbath, Kim, Adekanye, Oluwatobi, Bonnema, Eric, El Kontar, Rawad, Gonzalez, Jonathan, Horowitz, Scott, Jones, Dalton, Muehleisen, Ralph T., Platthotam, Siby, Reynolds, Matthew, Robertson, Joseph, Sayers, Kevin, and Li, Qu. 2022. "End-Use Load Profiles for the U.S. Building Stock: Methodology and Results of Model Calibration, Validation, and Uncertainty Quantification". United States. https://doi.org/10.2172/1854582. https://www.osti.gov/servlets/purl/1854582.

BibTeX:

@article{osti_1854582,
title = {End-Use Load Profiles for the U.S. Building Stock: Methodology and Results of Model Calibration, Validation, and Uncertainty Quantification},
author = {Wilson, Eric J. H. and Parker, Andrew and Fontanini, Anthony and Present, Elaina and Reyna, Janet L. and Adhikari, Rajendra and Bianchi, Carlo and CaraDonna, Christopher and Dahlhausen, Matthew and Kim, Janghyun and LeBar, Amy and Liu, Lixi and Praprost, Marlena and Zhang, Liang and DeWitt, Peter and Merket, Noel and Speake, Andrew and Hong, Tianzhen and Li, Han and Mims Frick, Natalie and Wang, Zhe and Blair, Aileen and Horsey, Henry and Roberts, David and Trenbath, Kim and Adekanye, Oluwatobi and Bonnema, Eric and El Kontar, Rawad and Gonzalez, Jonathan and Horowitz, Scott and Jones, Dalton and Muehleisen, Ralph T. and Platthotam, Siby and Reynolds, Matthew and Robertson, Joseph and Sayers, Kevin and Li, Qu},
abstractNote = {The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One way to achieve grid flexibility is to shed or shift demand to align with changing grid needs. To facilitate this, it is critical to understand how and when energy is used. High- quality end-use load profiles (EULPs) provide this information, and can help cities, states, and utilities understand the time-sensitive value of energy efficiency, demand response, and distributed energy resources. Publicly available EULPs have traditionally had limited application because of age and incomplete geographic representation (Frick, Eckman, and Goldman 2017; Frick 2019). To help fill this gap, the U.S. Department of Energy (DOE) funded a three-year project - End-Use Load Profiles for the U.S. Building Stock - that culminated in the release of a publicly available dataset1 of simulated EULPs representing residential and commercial buildings across the contiguous United States. The motivation for this work is further detailed in a November 2019 report: Market Needs, Use Cases, and Data Gaps (Mims Frick et al. 2019). This Methodology and Results report provides detailed descriptions of how the dataset was developed, intended for an audience of dataset and model users interested in the technical details. These details include descriptions of all of the model improvements made for calibration and the final comparisons to empirical data sources. A companion report, End-Use Load Profiles for the U.S. Building Stock: Applications and Opportunities, will be published subsequently and will describe example applications and considerations for using the dataset, intended for an audience of general dataset users.},
doi = {10.2172/1854582},
url = {https://www.osti.gov/biblio/1854582}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {3}
}