PHASED study archive | U.S. eGrid 2022 | egrid2020_technical_guide.pdf

Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. File: egrid2020_technical_guide.pdf. Source group: U.S. eGrid 2022. Study file location: 4 External Data/U.S. eGrid 2022/egrid2020_technical_guide.pdf. This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included. Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers. Source credit: U.S. Environmental Protection Agency, eGRID; edition/year as specified in the preserved filename. Reuse: EPA states that eGRID data are public domain. Files include the 2018, 2019, 2020, 2021 and 2022 editions and the 2020 technical guide. Source or terms: https://www.epa.gov/egrid/frequent-questions-about-egrid. Corresponding study author: Ryan S.D. Calder ([email protected]). This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-04
DOI
https://doi.org/10.5281/zenodo.23128788
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PHASED study archive | U.S. eGrid 2022 | egrid2020_technical_guide.pdf

Chloe Jackson, Georgia Mavrommati, Amir M. Gazar, Ryan S. D. Calder et al.
Zenodo (CERN European Organization for Nuclear Research)
Integrated Energy Systems Optimization
article

PHASED study archive | U.S. eGrid 2022 | egrid2020_technical_guide.pdf

Chloe Jackson, Georgia Mavrommati, Amir M. Gazar, Ryan S. D. Calder, Rich B. Howarth
article en

Abstract

Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. File: egrid2020_technical_guide.pdf. Source group: U.S. eGrid 2022. Study file location: 4 External Data/U.S. eGrid 2022/egrid2020_technical_guide.pdf. This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included. Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers. Source credit: U.S. Environmental Protection Agency, eGRID; edition/year as specified in the preserved filename. Reuse: EPA states that eGRID data are public domain. Files include the 2018, 2019, 2020, 2021 and 2022 editions and the 2020 technical guide. Source or terms: https://www.epa.gov/egrid/frequent-questions-about-egrid. Corresponding study author: Ryan S.D. Calder ([email protected]). This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.

Zenodo (CERN European Organization for Nuclear Research)
Dartmouth College (US), University of Massachusetts Boston (US), Virginia Tech (US)
Climate action, Affordable and clean energy, Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Integrated Energy Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.