Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation
With the widespread adoption of smart meters in buildings, an unprecedented amount of high-resolution energy data is released, which provides opportunities to understand building consumption patterns. Accordingly, research efforts have employed data analytics and machine learning methods to segment...
Saved in:
Main Authors: | Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry |
---|---|
Format: | article |
Language: | EN |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/a4ce48c09e1f4636b03523ac5ff3a1ec |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The SERL Observatory Dataset: Longitudinal Smart Meter Electricity and Gas Data, Survey, EPC and Climate Data for over 13,000 Households in Great Britain
by: Ellen Webborn, et al.
Published: (2021) -
Singularities in the Promotion of the Galician Wind Energy Peripheral Cluster
by: Varela-Vázquez,Pedro, et al.
Published: (2015) -
Assessment of the Effect of Six Methods of Analysis and Different Sample Sizes for Biomass Estimation in Grasslands of the State of Puebla, Mexico
by: Efraín Velasco-Bautista, et al.
Published: (2021) -
Big Data Energy Management, Analytics and Visualization for Residential Areas
by: Ragini Gupta, et al.
Published: (2020) -
Practical Method for Data-Driven User Phase Identification in Low-Voltage Distribution Networks
by: Huang Yu, et al.
Published: (2021)