K-Means Clustering for Identification of Household Energy Utilization and Production
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10260638" target="_blank" >RIV/61989100:27240/25:10260638 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11169119" target="_blank" >https://ieeexplore.ieee.org/document/11169119</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EEEIC/ICPSEurope64998.2025.11169119" target="_blank" >10.1109/EEEIC/ICPSEurope64998.2025.11169119</a>
Alternative languages
Result language
angličtina
Original language name
K-Means Clustering for Identification of Household Energy Utilization and Production
Original language description
This paper presents an analysis of household different energy situations using the k-means clustering algorithm, based on real-world data collected in Dingle, Ireland. The study begins with an overview of the growing importance of photovoltaic (PV) installations in the residential energy balance. The core of the work focuses on a single household equipped with a PV system and an energy storage unit, monitored throughout the entire year of 2020. The collected time-series data undergo preprocessing to ensure quality and consistency. Subsequently, the k-means clustering method is applied to identify typical patterns and distinct situations of household energy usage. The resulting clusters are visualized and interpreted to gain insights into the household's operational behaviour under different energy scenarios. This type of research is crucial to support the integration of single households into efficient energy communities. .
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2025 : conference proceedings : 15-18 July 2025, Chania, Crete-Greece
ISBN
979-8-3315-9516-6
ISSN
2994-9440
e-ISSN
2994-9467
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Piscataway
Event location
Chania
Event date
Jul 15, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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