A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory
- DOI
- 10.11591/ijece.v11i1.pp763-771
- Published
- 2021-02-01
- Container
- International Journal of Electrical and Computer Engineering (IJECE)
- Publisher
- Institute of Advanced Engineering and Science
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.11591/ijece.v11i1.pp763-771,
title = {A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory},
author = {Zannatul Ferdoush and Booshra Nazifa Mahmud and Amitabha Chakrabarty and Jia Uddin},
year = {2021},
journal = {International Journal of Electrical and Computer Engineering (IJECE)},
doi = {10.11591/ijece.v11i1.pp763-771},
url = {https://doi.org/10.11591/ijece.v11i1.pp763-771}
}RIS
TY - JOUR TI - A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory AU - Zannatul Ferdoush AU - Booshra Nazifa Mahmud AU - Amitabha Chakrabarty AU - Jia Uddin PY - 2021 JO - International Journal of Electrical and Computer Engineering (IJECE) DO - 10.11591/ijece.v11i1.pp763-771 UR - https://doi.org/10.11591/ijece.v11i1.pp763-771 ER -
APA
Ferdoush, Z., Mahmud, B. N., Chakrabarty, A., & Uddin, J. (2021). A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v11i1.pp763-771
Source records
- crossref · retrieved 2026-11-09T04:36:55.523Z