The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Overview and performance assessment of the clustering methods for electrical load pattern grouping
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Neyman, J. (1934) · Journal of the Royal Statistical Society · doi:10.2307/2342192 · Cited by 1,086
Neyman, J. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_12 · Cited by 932
Cited by
Big data driven smart energy management: from big data to big insights
Zhou, K., Fu, C., & Yang, S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.050 · Cited by 841
From demand response to integrated demand response: review and prospect of research and application
Huang, W., Zhang, N., Kang, C., Li, M., & Huo, M. (2019) · Protection and Control of Modern Power Systems · doi:10.1186/s41601-019-0126-4 · Cited by 312
Zhao, Y., Zhang, C., Zhang, Y., Wang, Z., & Li, J. (2020) · Energy and Built Environment · doi:10.1016/j.enbenv.2019.11.003 · Cited by 303
Load profiling and its application to demand response: A review
Wang, Y., Chen, Q., Kang, C., Zhang, M., Wang, K., & Zhao, Y. (2015) · Tsinghua Science and Technology · doi:10.1109/tst.2015.7085625 · Cited by 268
Kumari, A., Gupta, R., Tanwar, S., & Kumar, N. (2020) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2020.05.004 · Cited by 172
Metadata
- Authors
- Chicco, G.
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 42
- Issue
- 1
- Pages
- 68-80
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2066384055
- Cited by
- 484
- References
- 2
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Overview and performance assessment of the clustering methods for electrical load pattern grouping. https://app.cochat.ai/papers/10.1016/j.energy.2011.12.031
- The paper
- Chicco, G. (2012). Overview and performance assessment of the clustering methods for electrical load pattern grouping. Energy. https://doi.org/10.1016/j.energy.2011.12.031
Data sources
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.
