2014/05/13 by Andrea Monacchi, Dominik Egarter, Monacchi, Andrea +8
Computer Science · Energy · Engineering · #Building Energy and Comfort Optimization #Energy Efficiency and Management #FOS: Computer and information sciences #Other Computer Science (cs.OH) #Smart Grid Energy Management #cs.OH
paper · pdf · doi:10.48550/arxiv.1405.3100
openalex publication_date 2014/05/13 · arxiv created 2014/05/22 · arxiv updated 2014/05/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. To assess solutions before their deployment, researchers and designers of those systems demand for energy consumption datasets. In this paper, we present the GREEND dataset, containing detailed power usage information obtained through a measurement campaign in households in Austria and Italy. We provide a description of consumption scenarios and discuss design choices for the sensing infrastructure. Finally, we benchmark the dataset with state-of-the-art techniques in load disaggregation, occupancy detection and appliance usage mining.