Forecasting Electric Load Demand through Advanced Statistical Techniques
- DOI
- 10.1088/1742-6596/1432/1/012031
- Published
- 2020-01-01
- Container
- Journal of Physics: Conference Series
- Publisher
- IOP Publishing
- Open access
- unknown
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serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1088/1742-6596/1432/1/012031,
title = {Forecasting Electric Load Demand through Advanced Statistical Techniques},
author = {Jesús Silva and Alexa Senior Naveda and Jesús García Guliany and William Niebles Núñez and Hugo Hernández Palma},
year = {2020},
journal = {Journal of Physics: Conference Series},
doi = {10.1088/1742-6596/1432/1/012031},
url = {https://doi.org/10.1088/1742-6596/1432/1/012031}
}RIS
TY - JOUR TI - Forecasting Electric Load Demand through Advanced Statistical Techniques AU - Jesús Silva AU - Alexa Senior Naveda AU - Jesús García Guliany AU - William Niebles Núñez AU - Hugo Hernández Palma PY - 2020 JO - Journal of Physics: Conference Series DO - 10.1088/1742-6596/1432/1/012031 UR - https://doi.org/10.1088/1742-6596/1432/1/012031 ER -
APA
Silva, J., Naveda, A. S., Guliany, J. G., Núñez, W. N., & Palma, H. H. (2020). Forecasting Electric Load Demand through Advanced Statistical Techniques. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1432/1/012031
Source records
- crossref · retrieved 2026-09-27T01:18:22.376Z