<p>This paper presents the PTProsumer dataset, a high-resolution dataset of photovoltaic (PV) production and net-load measurements collected from 24 prosumers - entities that both produce and consume electricity, including households and small commercial buildings - on Madeira Island, Portugal. The dataset covers monitoring periods ranging from 3 months to 5 years, with measurements sampled at a 1-second resolution, resulting in approximately 3.89 billion data points. PV production and electricity consumption are provided as separate signals, enabling detailed analysis of local energy flows. The dataset also includes 1-minute resolution solar irradiation estimates from the Copernicus Atmosphere Monitoring Service. Files are provided in CSV format, organized by year, and are accompanied by a public code repository with examples for data processing. This dataset supports research in forecasting, flexibility management, grid resilience, and energy community modeling, contributing to the growing need for open-access, long-term energy datasets.</p>

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Longitudinal Dataset of Net-load, PV Production and Solar Irradiation from Madeira Island, Portugal

  • Lucas Pereira,
  • Diogo Monteiro,
  • Frederick Apina,
  • Sabrina Scuri,
  • Mary Barreto,
  • Filipe Quintal,
  • Hugo Morais

摘要

This paper presents the PTProsumer dataset, a high-resolution dataset of photovoltaic (PV) production and net-load measurements collected from 24 prosumers - entities that both produce and consume electricity, including households and small commercial buildings - on Madeira Island, Portugal. The dataset covers monitoring periods ranging from 3 months to 5 years, with measurements sampled at a 1-second resolution, resulting in approximately 3.89 billion data points. PV production and electricity consumption are provided as separate signals, enabling detailed analysis of local energy flows. The dataset also includes 1-minute resolution solar irradiation estimates from the Copernicus Atmosphere Monitoring Service. Files are provided in CSV format, organized by year, and are accompanied by a public code repository with examples for data processing. This dataset supports research in forecasting, flexibility management, grid resilience, and energy community modeling, contributing to the growing need for open-access, long-term energy datasets.