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).