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Aggregated Hourly Load and Generation Profiles for the Kurzeme Region, Latvia, 2025

ラトビア、クルゼメ地域の2025年の時間別総負荷および発電プロファイル (AI 翻訳)

Mutule, Anna, Zalostiba, Diana, Baltputnis, Kārlis, Borscevskis, Olegs

Zenodoデータセット2026-07-07#再生可能エネルギーOrigin: EU対象セクター: power
DOI: 10.5281/zenodo.21237184
原典: https://zenodo.org/records/21237184

🤖 gxceed AI 要約

日本語

本データセットは、ラトビアのクルゼメ地域における2025年の時間別電力負荷と発電プロファイルを提供する。17の変電所の測定値に基づき、太陽光、風力、コジェネ、水力、蓄電池の総発電容量189.9 MWをカバーする。地域エネルギーシステム解析や需給調整の研究に利用可能。

English

This dataset provides aggregated hourly electrical load and generation profiles for the Kurzeme region of Latvia for 2025, based on measurements from 17 substations. It includes active/reactive power for both load and generation, covering 108.6 MW solar, 46.7 MW wind, and other sources. Suitable for regional energy system analysis and flexibility studies.

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

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

ラトビアの地域データだが、日本でも地域単位の需給解析や再エネ統合の参考になる。特に変電所レベルの集計データは、日本の配電系統計画に示唆を与える。

In the global GX context

This dataset from Latvia offers a high-resolution regional profile that can inform distribution-level planning and renewable integration strategies globally, especially for regions with high solar and wind penetration.

👥 読者別の含意

🔬研究者:Useful for validating distribution-level demand and generation models, especially for regions with high renewable penetration.

🏢実務担当者:Can be used for benchmarking or planning, but limited direct applicability outside Latvia.

📄 Abstract（原文）

This dataset provides aggregated hourly electrical load and generation profiles for the Kurzeme region of Latvia for the year 2025. The Kurzeme region is a western region of Latvia located along the Baltic Sea coast, characterised by a mixed urban, rural and coastal energy demand profile and increasing integration of renewable energy generation. The dataset is based on measurements from 17 transformer substations and contains only summed regional values; individual substation-level time series are not included. The published time series includes active and reactive power components for both generation and load. The dataset contains 8760 hourly records covering the period from 1 January 2025 to 31 December 2025. The following variables are included: date, time, active generation, reactive generation, active load, and reactive load. The aggregation covers transformer substations with a total installed transformer capacity of 553.9 MVA. The total installed generation capacity connected to the analysed substations is approximately 189.9 MW. This includes 108.6 MW of solar photovoltaic generation, 46.7 MW of wind generation, 25.3 MW of cogeneration, 3.8 MW of hydropower, and 5.4 MW of battery energy storage systems.  The dataset can be used for regional energy system analysis, distribution-level load and generation profile assessment, energy community and flexibility studies, scenario development. Variables Date — calendar date of the hourly record. Time — hour of the day. Active generation, kW — aggregated active power generation. Reactive generation, kVAr — aggregated reactive power generation. Active load, kW — aggregated active power load. Reactive load, kVAr — aggregated reactive power load. Spatial coverage Kurzeme region, Latvia. Temporal coverage 2025-01-01 to 2025-12-31. Temporal resolution Hourly.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。