Using Cluster Analysis and Least Square Support Vector Machine to Predicting Power Demand for the Next-Day

Jianqiang Huang, Ye Liang, Haodong Bian, Xiaoying Wang

Open source

DOI: 10.1109/access.2019.2922777
Published: 2019
Container: IEEE Access
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/access.2019.2922777,
  title = {Using Cluster Analysis and Least Square Support Vector Machine to Predicting Power Demand for the Next-Day},
  author = {Jianqiang Huang and Ye Liang and Haodong Bian and Xiaoying Wang},
  year = {2019},
  journal = {IEEE Access},
  doi = {10.1109/access.2019.2922777},
  url = {https://doi.org/10.1109/access.2019.2922777}
}

RIS

TY  - JOUR
TI  - Using Cluster Analysis and Least Square Support Vector Machine to Predicting Power Demand for the Next-Day
AU  - Jianqiang Huang
AU  - Ye Liang
AU  - Haodong Bian
AU  - Xiaoying Wang
PY  - 2019
JO  - IEEE Access
DO  - 10.1109/access.2019.2922777
UR  - https://doi.org/10.1109/access.2019.2922777
ER  -

APA

Huang, J., Liang, Y., Bian, H., & Wang, X. (2019). Using Cluster Analysis and Least Square Support Vector Machine to Predicting Power Demand for the Next-Day. IEEE Access. https://doi.org/10.1109/access.2019.2922777

Source records

crossref · retrieved 2026-09-25T17:50:42.880Z