Local electricity pricing across Sweden: data and method.

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES
Data in Brief Pub Date : 2026-08-28 eCollection Date: 2026-08-01 DOI:10.1016/j.dib.2026.113191
Gabriella Grenander, David Daniels
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引用次数: 0

Abstract

This dataset provides hourly commercial electricity prices for all locations in Sweden for 2019-2024; all prices are nominal. It combines wholesale market prices with local distribution network power tariffs in a reproducible processing pipeline. Wholesale electricity prices originate from the Nord Pool day‑ahead market and vary hourly in each of Sweden's four bidding areas (SE1-SE4). Grid tariffs, by contrast, are determined by the local DSOs responsible for operating Sweden's electricity distribution grids. As of 2025, 145 DSOs operate within 310 non‑overlapping network concession areas in Sweden, and each may determine distinct tariff structures. Grid tariff data were imported from the Swedish Energy Markets Inspectorate's (EI's) reporting entity (RE/REL) tables, covering fixed fees, energy-based charges, subscribed-capacity components, and high-load definitions for capacity-based commercial customers. Additional tariff attributes not explicitly encoded in EI's workbook-such as high-load months and hours or capacity definitions-were collected from DSO websites and compiled in a structured JSON file. All data were cleaned, unit-normalized, time-aligned and organized using Python. The resulting dataset includes hourly wholesale prices, harmonized tariff components, machine-readable tariff rules. The processing framework accepts either 24-hour template load profiles (expanded automatically to annual resolution) or full 8760-hour load profiles, enabling analysis that preserves seasonal and temporal variation. The resource is designed to support reproducible electricity cost modeling, tariff structure evaluation, and scenario-based analyses of temporal and spatial variation in end user costs. All inputs, scripts, and outputs are openly provided to enable flexible reuse for different load profiles, study areas, and future data extensions.

瑞典各地的电力定价:数据和方法。
该数据集提供了2019-2024年瑞典所有地区的每小时商业电价;所有价格都是名义价格。它将批发市场价格与当地配电网电价结合在一起,形成一个可复制的加工管道。批发电价来自北池日前市场,在瑞典的四个竞价区(SE1-SE4)每小时都有所不同。相比之下,电网收费则由负责运营瑞典配电网络的地方dso决定。截至2025年,145家dso在瑞典310个非重叠网络特许区域内运营,每个区域都可以确定不同的费率结构。电网电价数据是从瑞典能源市场监察局(EI)的报告实体(RE/REL)表中导入的,包括固定费用、基于能源的收费、订阅容量组件和基于容量的商业客户的高负荷定义。EI工作手册中没有明确编码的其他关税属性(如高负荷月份和小时数或容量定义)从DSO网站收集,并编译成结构化JSON文件。所有数据都被清理,单位规范化,时间对齐和组织使用Python。所得数据集包括每小时批发价格、统一关税组成部分、机器可读的关税规则。处理框架接受24小时模板负载配置文件(自动扩展为年度分辨率)或完整的8760小时负载配置文件,支持保留季节和时间变化的分析。该资源旨在支持可重复的电力成本建模、电价结构评估和基于场景的最终用户成本时空变化分析。所有的输入、脚本和输出都是公开提供的,以便对不同的负载概要文件、研究区域和未来的数据扩展进行灵活的重用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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