Airgilab September-October 2024
收藏DataCite Commons2025-09-25 更新2026-04-25 收录
下载链接：
https://dataverse.csuc.cat/citation?persistentId=doi:10.34810/data2547
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资源简介：
This dataset was collected by the Air Quality & Green Infrastructure Living Lab (Airgilab) in Terrassa, Spain, during September and October 2024. It contains environmental measurements from a rooftop greenhouse, including indoor climate variables such as temperature, humidity, and CO₂ concentration, along with relevant outdoor conditions and control actions applied to the greenhouse systems.
The main purpose of this dataset is to support the development and evaluation of forecasting models for indoor greenhouse environments, which are affected by both seasonal variations and automated control strategies. This makes prediction particularly challenging, as data distributions may shift over time.
The dataset was gathered through a network of calibrated sensors and monitoring devices integrated into the greenhouse infrastructure, with data logged at regular intervals to capture fine-grained dynamics. It is intended for research on advanced time series modeling, decision-support systems, and sustainable greenhouse management, providing a benchmark for testing novel approaches such as hybrid deep learning architectures that combine dynamic state representations with memory components.
提供机构：
CORA.Repositori de Dades de Recerca
创建时间：
2025-09-10
