The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Household Energy Consumption Segmentation Using Hourly Data
Abstract
The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.
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Cites
Cluster Analysis of Smart Metering Data: An Implementation in Practice
Flath, C., Nicolay, D., Conte, T., van Dinther, C., & Filipova-Neumann, L. (2012) · Business & Information Systems Engineering · doi:10.1007/s12599-011-0201-5 · Cited by 137
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Antonopoulos, I., Robu, V., Couraud, B., Kirli, D., Norbu, S., Kiprakis, A., Flynn, D., Elizondo-Gonzalez, S., & Wattam, S. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109899 · Cited by 656
Fan, C., Chen, M., Wang, X., Wang, J., & Huang, B. (2021) · Frontiers in Energy Research · doi:10.3389/fenrg.2021.652801 · Cited by 445
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Wu, J., Guo, S., Li, J., & Zeng, D. (2016) · IEEE Systems Journal · doi:10.1109/jsyst.2016.2550530 · Cited by 389
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Metadata
- Authors
- Kwac, J., Flora, J., & Rajagopal, R.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2014-01
- Volume
- 5
- Issue
- 1
- Pages
- 420-430
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W1989866797
- Cited by
- 498
- References
- 1
- FWCI
- 18.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kwac, J., Flora, J., & Rajagopal, R. (2014). Household Energy Consumption Segmentation Using Hourly Data. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2013.2278477
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
