Wind Generation, Photovoltaic Generation and Meteorological Datasets with 30 seconds Resolution from an Actual Site in Cyprus
キプロスの実サイトにおける30秒解像度の風力発電、太陽光発電、気象データセット (AI 翻訳)
Alambritis, Lefteris, Blanksma, Joep Immanuel, Hadjidemetriou, Lenos, Shiacallis, Sotiris, Philippou, Stelios, Christofi, Angellos
🤖 gxceed AI 要約
日本語
本論文は、キプロスの実測サイトから収集された、30秒解像度の風力発電、太陽光発電、風速、風向、気温データセットを提供する。データは2025年3月から2026年2月までの12ヶ月間をカバーし、再生可能エネルギー資源の変動性と発電実績の詳細分析を可能にする。OptimRESプロジェクトの枠組みで開発されたハイブリッド再生可能エネルギーシステム最適化ツールの入力として使用された。
English
This paper provides high-resolution (30-second) datasets of wind generation, PV generation, wind speed, wind direction, and ambient temperature from an actual site in Cyprus. The data covers 12 months from March 2025 to February 2026 and is used as input for stochastic optimization frameworks for hybrid renewable energy systems, supporting day-ahead bidding and near-real-time market participation under realistic operating conditions.
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
日本でも再生可能エネルギーの大量導入に伴い、高解像度の気象・発電データが需要予測や系統安定化に重要である。本データセットは、同様の分析手法の検証やベンチマークとして活用できる。
In the global GX context
High-resolution renewable generation datasets are crucial for integrating variable renewables into power systems globally. This dataset from Cyprus provides realistic time-series for validating forecasting and optimization algorithms, relevant for grid operators and market participants worldwide.
👥 読者別の含意
🔬研究者:Provides a high-resolution empirical dataset for validating renewable generation forecasting and optimization models.
🏢実務担当者:Useful for developing and testing day-ahead bidding strategies for hybrid renewable systems.
📄 Abstract（原文）
Real-life datasets regarding photovoltaic power generation (PV), wind power generation, wind speed, wind direction, and ambient temperature from an actual measurement site in Cyprus. The measurement site is located at (34.927423 , 33.475382) and is equipped with a 10 kW-rated PV system and a 10.8 MW-rated wind system for monitoring renewable energy resource variability and power generation. The data are recorded with a resolution of 30 seconds and provide high-resolution time-series measurements for detailed analysis of renewable generation under realistic operating conditions. A total of 12 monthly profiles are provided, covering the period from March 2025 to February 2026. For each month, all available days within that month are included, and the exact month is indicated by the ".csv" file name using the format yyyy_mm. It should be noted that these profiles have been used within the framework of the OptimRES project for the development of optimization-based tools for hybrid renewable energy systems. In particular, they constitute realistic time-series inputs for the stochastic optimization framework developed to support both day-ahead bidding and near-real-time market participation. By capturing the temporal variability of renewable generation and meteorological conditions, the datasets provide representative inputs for assessing uncertainty, forecast performance, and market decision-making under realistic operating conditions.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20800202first seen 2026-07-10 04:26:07 · last seen 2026-07-10 04:29:17
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