The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods
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Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Time Series Analysis: Forecasting and Control
Geurts, M., Box, G. E. P., & Jenkins, G. M. (1977) · Journal of Marketing Research · doi:10.2307/3150485 · Cited by 19,186
Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
An Analysis of Transformations
Box, G. E. P., & Cox, D. R. (1964) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1964.tb00553.x · Cited by 15,052
A tutorial on support vector regression
Smola, A. J., & Schölkopf, B. (2004) · Statistics and Computing · doi:10.1023/b:stco.0000035301.49549.88 · Cited by 13,387
Time Series Analysis Forecasting and Control.
Bartholomew, D. J., Box, G. E. P., & Jenkins, G. M. (1971) · Operational Research Quarterly (1970-1977) · doi:10.2307/3008255 · Cited by 6,716
Forecasting principles and practice
Hyndman, R. J., & Athanasopoulos, G. (2018) · Cited by 4,405
(1998) · Cited by 3,476
The Jackknife and the Bootstrap for General Stationary Observations
Kunsch, H. R. (1989) · The Annals of Statistics · doi:10.1214/aos/1176347265 · Cited by 2,374
Cited by
Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM
Le, T., Vo, M., Vo, B., Hwang, E., Rho, S., & Baik, S. (2019) · Applied Sciences · doi:10.3390/app9204237 · Cited by 266
Metadata
- Authors
- de Oliveira, E. M., & Cyrino Oliveira, F. L.
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 144
- Pages
- 776-788
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2775155156
- Cited by
- 425
- References
- 53
- FWCI
- 13.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods. https://app.cochat.ai/papers/10.1016/j.energy.2017.12.049
- The paper
- de Oliveira, E. M., & Cyrino Oliveira, F. L. (2018). Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods. Energy. https://doi.org/10.1016/j.energy.2017.12.049
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.
