カリフォルニア州における屋上太陽光・蓄電池・EV充電のZIPコード別データ（2023年）

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:分散型エネルギー普及の地域間比較や政策評価に活用できる、統合されたZIPコード単位のパネルデータを提供する。

🏢実務担当者:自社のEV充電・蓄電池・太陽光の展開戦略を地域特性（人口動態、エネルギー負担、電力需要）と照合する際のベンチマークとして利用可能。

🏛政策担当者:地域別の分散型エネルギー導入格差を可視化し、補助金や規制のターゲティングに役立つデータ基盤を提供する。

A ZIP-code-level panel of distributed energy resources across California, built so that deployment can be compared across technologies rather than one at a time. Distributed energy data is scattered across agencies, geographies and vintages: rooftop solar sits with one program, storage with another, EV charging in a dashboard export, and none of them share a common set of controls. This record assembles them into a single 2023 panel keyed to Census ZIP Code Tabulation Areas, so questions that require comparing technologies — who has storage but not solar, where charging is dense but residential access is not — can be asked directly. Coverage. 2,549 California ZCTAs by 50 columns. Rooftop solar PV capacity, battery storage capacity, EV charging counts split by Level 1, Level 2 and DC fast, EV registrations, wind capacity and turbine counts, and power-plant capacity. Each is joined to American Community Survey 2023 five-year demographics and socioeconomics, exhaustive housing structure and tenure, NASA POWER climate and solar resource, utility service territory, annual electricity demand from all three investor-owned utilities, and California Energy Commission energy burden and affordability measures. Using it. Geography is the 2023 ZCTA, keyed by zip_code as a five-digit string — read it as text, not as an integer. Coverage is not universal on every column: housing structure and tenure are complete for 1,717 ZCTAs and energy burden for 1,669, so expect missingness rather than assuming a balanced panel. The four housing-structure shares are exhaustive and sum to one, with single-family the natural omitted reference. Beyond the panel. The record also carries the 740 coefficient tables behind every figure in the accompanying paper, so results can be redrawn without refitting; the raw inputs that have no stable public download URL, including LBNL's Tracking the Sun file; the exact Census API response and its query manifest, preserved because the Census serves current vintages rather than historical snapshots; and the pinned environment the pipeline runs under. CHECKSUMS.sha256 covers every file. Underlying sources retain their own citation requirements, in particular LBNL Tracking the Sun, the USGS US Wind Turbine Database, CaliforniaDGStats, NASA POWER, the California Energy Commission and the US Census Bureau. SOURCES.md documents each with its origin.

• openalex https://doi.org/10.5281/zenodo.22053002first seen 2026-09-11 04:58:52 · last seen 2026-09-11 04:59:24