Real-time cloud dataset of irradiance and temperature from edge-based monitoring
- 1Department of Mechatronics and Electromechanics, Institución Universitaria ITM, Medellín, 050028, Colombia; Corresponding author.
- 2Department of Electronics and Telecommunications, Institución Universitaria ITM, Medellín, 050028, Colombia
Abstract
Solar irradiance and temperature were measured on horizontal and vertical surfaces representing roof and facade configurations, respectively. Continuous monitoring was conducted at Parque i in Medellín, Colombia, from January 30 to June 12, 2026, with mean measured sampling interval of 6.85 s, generating a high‑temporal-resolution dataset of environmental conditions. The data acquisition platform comprised RS‑RA‑N01‑AL irradiance sensors and DS18B20 temperature sensors connected to a Raspberry Pi 5operating within an edge computing architecture, enabling real‑time data validation, local storage, and cloud transmission. This dataset provides a basis for evaluating photovoltaic performance, supporting renewable energy research, and informing architectural integration strategies for building‑integrated photovoltaics (BIPV).
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BibTeX
@article{restrepocuestas2026realtime,
title = {{Real-time cloud dataset of irradiance and temperature from edge-based monitoring}},
author = {Bonie Restrepo-Cuestas and Jhon Montano and Juan Navarro and Samuel Quiroz and John Montoya},
journal = {Data in Brief},
year = {2026},
month = aug,
doi = {10.1016/j.dib.2026.113332},
url = {https://doi.org/10.1016/j.dib.2026.113332},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - Real-time cloud dataset of irradiance and temperature from edge-based monitoring
AU - Bonie Restrepo-Cuestas
AU - Jhon Montano
AU - Juan Navarro
AU - Samuel Quiroz
AU - John Montoya
PY - 2026
DA - 2026/08/01
JO - Data in Brief
DO - 10.1016/j.dib.2026.113332
UR - https://doi.org/10.1016/j.dib.2026.113332
AB - Solar irradiance and temperature were measured on horizontal and vertical surfaces representing roof and facade configurations, respectively. Continuous monitoring was conducted at Parque i in Medellín, Colombia, from January 30 to June 12, 2026, with mean measured sampling interval of 6.85 s, generating a high‑temporal-resolution dataset of environmental conditions. The data acquisition platform comprised RS‑RA‑N01‑AL irradiance sensors and DS18B20 temperature sensors connected to a Raspberry Pi 5operating within an edge computing architecture, enabling real‑time data validation, local storage, and cloud transmission. This dataset provides a basis for evaluating photovoltaic performance, supporting renewable energy research, and informing architectural integration strategies for building‑integrated photovoltaics (BIPV).
SN - 2352-3409
ER -