Energies | |
Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns | |
Félix Iglesias1  | |
关键词: clustering; time-series analysis; similarity measures; pattern discovery; building energy modeling; cluster validity; | |
DOI : 10.3390/en6020579 | |
来源: mdpi | |
【 摘 要 】
Forecasting and modeling building energy profiles require tools able to discover patterns within large amounts of collected information. Clustering is the main technique used to partition data into groups based on internal and a priori unknown schemes inherent of the data. The adjustment and parameterization of the whole clustering task is complex and submitted to several uncertainties, being the
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190038726ZK.pdf | 3302KB | download |