Dataset for daily energy management: Renewable generation, consumption, and storage

This dataset provides annual hourly data on renewable generation (kWh), consumption (kWh), and energy prices (EUR/kWh). The data is categorized into seasonal blocks (i.e., winter, spring, summer, and autumn) and contains representative daily scenarios for each season. The available data includes sets of 3, 9, 12, 27, and 50 scenarios, such as the “Set of 3 Winter Scenarios” and “Set of 50 Autumn Scenarios”. The dataset also includes real battery charge and discharge profiles collected over 24-hour periods at 15-minute intervals. The data are organized into multiple sheets, each representing specific components of the dataset as follows: “2023 data” sheet: Contains hourly historical data for the entire year of 2023, including timestamp (column A), PV generation (kW) (column B), Consumption (kW) (column C), Consumption (p.u.) (column D), Energy price (EUR/MWh) (column E), Energy price (EUR/kWh) (column F). Seasonal data sheets (winter, spring, summer, autumn): Each sheet contains hourly data according to the season, including Timestamp (column A), PV generation (kW) (column B), Consumption (kW) (column C), Consumption (p.u.) (column D), Energy price (EUR/MWh) (column E), Energy price (EUR/kWh) (column F). Representative scenario sheets: These sheets contain representative scenarios generated for each season (Winter, Spring, Summer, Autumn) using the method detailed in section 4a. Each sheet is organized by the number of clusters used to generate the scenarios, allowing for different levels of detail and computational complexity. The available scenarios include sets of 3, 9, 12, 27, and 50 clusters, such as the “Set of 3 Winter Scenarios” and “Set of 50 Autumn Scenarios.” “Battery SOC profiles” sheet: This spreadsheet contains real data for three battery operational profiles recorded over 24 hours at 15-minute intervals (96 periods). Each profile includes the following parameters: period, time, SOC (%), and temperature (°C).本数据集提供了可再生能源发电（单位：千瓦时，kWh）、用电负荷（单位：千瓦时，kWh）以及能源电价（单位：欧元/千瓦时，EUR/kWh）的年度逐小时数据。数据按季节区块（即冬季、春季、夏季与秋季）进行分类，且包含每个季节的典型日情景。可用情景集规模涵盖3、9、12、27及50组，例如“冬季3组情景集”与“秋季50组情景集”。此外，数据集还包含以15分钟为间隔采集的24小时时长内的真实电池充放电曲线数据。 数据以多张工作表进行组织，每张工作表对应数据集的特定组成部分，具体如下： "2023年数据"工作表：包含2023年全年的逐小时历史数据，各列信息分别为：时间戳（A列）、光伏发电功率（千瓦，kW）（B列）、用电负荷功率（千瓦，kW）（C列）、用电负荷标幺值（p.u.）（D列）、能源电价（欧元/兆瓦时，EUR/MWh）（E列）、能源电价（欧元/千瓦时，EUR/kWh）（F列）。 季节数据工作表（冬季、春季、夏季、秋季）：每张工作表包含对应季节的逐小时数据，各列信息同上：时间戳（A列）、光伏发电功率（千瓦，kW）（B列）、用电负荷功率（千瓦，kW）（C列）、用电负荷标幺值（p.u.）（D列）、能源电价（欧元/兆瓦时，EUR/MWh）（E列）、能源电价（欧元/千瓦时，EUR/kWh）（F列）。 典型情景工作表：此类工作表包含采用第4a节所述方法生成的各季节（冬季、春季、夏季、秋季）典型情景。每张工作表按生成情景所用的聚类簇数进行组织，可支持不同的细节粒度与计算复杂度。可用情景集规模涵盖3、9、12、27及50组聚类簇，例如“冬季3组情景集”与“秋季50组情景集”。 "电池荷电状态（SOC）曲线"工作表：本工作表包含3组在24小时内以15分钟为间隔（共96个周期）采集的真实电池运行曲线数据，每组曲线包含以下参数：周期序号、时间、荷电状态（SOC，百分比，%）以及温度（摄氏度，°C）。