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<p>Reliable data on residential power generation and consumption is vital for effectively integrating renewable energy sources. This is particularly important in the Baltic countries, where climate variability significantly impacts energy production and consumption. Such high-resolution residential usage data is beneficial for various applications, including planning, demand response, consumption behavior analysis, and forecasting. The dataset presented in this study contains one year (2023) of photovoltaic (PV) generation and energy meter power flow data collected at ten-second intervals from a residential dwelling in Estonia. To gather this data, two Camille Bauer PQ1000 power quality monitoring units were installed on the PV and meter side wiring of the house. The paper thoroughly discusses the data collection process, the original dataset, the processed data, and the feature analysis.</p>

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Solar PV Generation and Consumption Dataset of an Estonian Residential Dwelling

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月22日

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  • Sayeed Hasan,
  • Andrei Blinov,
  • Andrii Chub,
  • Dmitri Vinnikov

摘要

Reliable data on residential power generation and consumption is vital for effectively integrating renewable energy sources. This is particularly important in the Baltic countries, where climate variability significantly impacts energy production and consumption. Such high-resolution residential usage data is beneficial for various applications, including planning, demand response, consumption behavior analysis, and forecasting. The dataset presented in this study contains one year (2023) of photovoltaic (PV) generation and energy meter power flow data collected at ten-second intervals from a residential dwelling in Estonia. To gather this data, two Camille Bauer PQ1000 power quality monitoring units were installed on the PV and meter side wiring of the house. The paper thoroughly discusses the data collection process, the original dataset, the processed data, and the feature analysis.