Harmonized geospatial data to evaluate the Electric Distribution Networks in the US Northeast

Reliable, open-access data on electric distribution networks is crucial for advancing energy equity, enhancing infrastructure resilience, and informing policy evaluation. In this work, we present a harmonized geospatial dataset for the electric distribution networks in the US Northeast, covering Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, and Vermont. The dataset integrates technical, spatial, and topological data extracted from utility hosting capacity maps (public GIS layers reporting feeder-level estimates of distributed energy resources) and processed using a reproducible pipeline. Our network comprises 3,884,698 line segments, achieving a population coverage of 72.46% and geographic coverage of 84.96%. By bridging complex network theory with spatial infrastructure mapping, this dataset enables a multidimensional assessment of electric grid performance, sustainability, and equity. It allows researchers and policymakers to explore the links between urban and economic development patterns, network morphology, and energy outcomes.

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Publication Details

Journal
Scientific Data
Published
2025-12-19
DOI
https://doi.org/10.1038/s41597-025-06465-9
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Harmonized geospatial data to evaluate the Electric Distribution Networks in the US Northeast

Bernat Salbanya, Jordi Nin, Ramon Gras Alomà
Scientific Data
Optimal Power Flow Distribution
article

Harmonized geospatial data to evaluate the Electric Distribution Networks in the US Northeast

Bernat Salbanya, Jordi Nin, Ramon Gras Alomà
article en

Abstract

Reliable, open-access data on electric distribution networks is crucial for advancing energy equity, enhancing infrastructure resilience, and informing policy evaluation. In this work, we present a harmonized geospatial dataset for the electric distribution networks in the US Northeast, covering Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, and Vermont. The dataset integrates technical, spatial, and topological data extracted from utility hosting capacity maps (public GIS layers reporting feeder-level estimates of distributed energy resources) and processed using a reproducible pipeline. Our network comprises 3,884,698 line segments, achieving a population coverage of 72.46% and geographic coverage of 84.96%. By bridging complex network theory with spatial infrastructure mapping, this dataset enables a multidimensional assessment of electric grid performance, sustainability, and equity. It allows researchers and policymakers to explore the links between urban and economic development patterns, network morphology, and energy outcomes.

Scientific DataVol. 13(1)
TBS Education (FR), Harvard University Press (US), Universitat Ramon Llull (ES)
Openalex Percentile: Top 58%
Optimal Power Flow Distribution
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Harmonized geospatial data to evaluate the Electric Distribution Networks in the US Northeast — Bernat Salbanya, Jordi Nin, et al. · Scientific Data (2025) | TGRS Research Map | TGRS