Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method
- DOI
- 10.3390/app9061231
- Published
- 2019-03-24
- Container
- Applied Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/app9061231,
title = {Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method},
author = {Jaehyun Lee and Jinho Kim and Woong Ko},
year = {2019},
journal = {Applied Sciences},
doi = {10.3390/app9061231},
url = {https://doi.org/10.3390/app9061231}
}RIS
TY - JOUR TI - Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method AU - Jaehyun Lee AU - Jinho Kim AU - Woong Ko PY - 2019 JO - Applied Sciences DO - 10.3390/app9061231 UR - https://doi.org/10.3390/app9061231 ER -
APA
Lee, J., Kim, J., & Ko, W. (2019). Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method. Applied Sciences. https://doi.org/10.3390/app9061231
Source records
- crossref · retrieved 2026-11-10T07:22:16.281Z