Longitudinal Dataset of Net-load, PV Production and Solar Irradiation from Madeira Island, Portugal
Year: 2025
Type: data-paper
Abstract: 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.
Source: Scientific Data
Authors: Lucas Pereira, Diogo Monteiro, Frederick Apina, Sabrina Scuri, Mary Barreto, Filipe Quintal, Hugo Morais
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,490
Awards: G1359180378, LARSyS - Laboratório de Robótica e Sistemas de Engenharia, SMart IsLand Energy systems, G1740015287, Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa, Laboratório de Robótica e Sistemas de Engenharia, Laboratório de Robótica e Sistemas de Engenharia, G434337789, G4680999436, G4693478082, G4964156841, Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa, G5454278309, Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa, G6138490325, Planeamento da operação de redes elétricas considerando o use de aprendizagem federada com quantificação das incertezas, G6997658380, G7093072058, G7354346225, G787757375, G8815410947
OpenAlex ID: W4416785836
