Projekter pr. år
Abstract
The growing availability of smart meter data has facilitated the development of energy-saving services like demand response, personalized energy feedback, and non-intrusive-load-monitoring applications, all of which heavily rely on advanced machine learning algorithms trained on energy consumption datasets. To ensure the accuracy and reliability of these services, real-world smart meter data collection is crucial. The Plegma dataset described in this paper addresses this need bfy providing whole- house aggregate loads and appliance-level consumption measurements at 10-second intervals from 13 different households over a period of one year. It also includes environmental data such as humidity and temperature, building characteristics, demographic information, and user practice routines to enable quantitative as well as qualitative analysis. Plegma is the first high-frequency electricity measurements dataset in Greece, capturing the consumption behavior of people in the Mediterranean area who use devices not commonly included in other datasets, such as AC and electric-water boilers. The dataset comprises 218 million readings from 88 installed meters and sensors. The collected data are available in CSV format.
Originalsprog | Engelsk |
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Artikelnummer | 376 |
Tidsskrift | Scientific Data |
Vol/bind | 11 |
Udgave nummer | 1 |
Antal sider | 17 |
ISSN | 2052-4463 |
DOI | |
Status | Udgivet - 12 apr. 2024 |
Bibliografisk note
© 2024. The Author(s).Fingeraftryk
Dyk ned i forskningsemnerne om 'The Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Igangværende
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GECKO: Building greener and more sustainable societies by filling the knowledge gap in social science and engineering to enable responsible artificial intelligence co-creation
Christensen, T. H. B. (PI (principal investigator)), Gram-Hanssen, K. (PI (principal investigator)), Guasselli, F. C. (PI (principal investigator)) & Tellarini, C. (PI (principal investigator))
01/01/2021 → 31/12/2024
Projekter: Projekt › Forskning
Aktiviteter
- 1 Gæsteophold ved andre institutioner
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Plegma Labs
Fernanda Guasselli (Gæsteforsker)
1 sep. 2022 → 31 okt. 2022Aktivitet: Gæsteophold ved andre institutioner