The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Electric load forecasting methods: Tools for decision making
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Citations
Cites
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Time Series: Theory and Methods
Ziegel, E. R., Brockwell, P., & Davis, R. (1992) · Technometrics · doi:10.2307/1270070 · Cited by 5,012
Introduction to Evolutionary Computing
Eiben, A. E., & Smith, J. E. (2003) · Natural Computing Series · doi:10.1007/978-3-662-05094-1 · Cited by 4,176
Time Series: Theory and Methods
Brockwell, P. J., & Davis, R. A. (1991) · Springer Series in Statistics · doi:10.1007/978-1-4419-0320-4 · Cited by 4,122
Time Series Analysis, Forecasting and Control.
Kendall, M. G., Box, G. E. P., & Jenkins, G. M. (1971) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344246 · Cited by 2,771
The Nature of Statistical Learning
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Neural networks for short-term load forecasting: a review and evaluation
Hippert, H. S., Pedreira, C. E., & Souza, R. C. (2001) · IEEE Transactions on Power Systems · doi:10.1109/59.910780 · Cited by 2,221
Fundamentals of Computational Swarm Intelligence
Engelbrecht, A. P. (2005) · Medical Entomology and Zoology · Cited by 1,871
Cited by
Big data driven smart energy management: from big data to big insights
Zhou, K., Fu, C., & Yang, S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.050 · Cited by 841
On recent advances in PV output power forecast
Raza, M. Q., Nadarajah, M., & Ekanayake, C. (2016) · Solar Energy · doi:10.1016/j.solener.2016.06.073 · Cited by 544
Long term load projection in high resolution for all countries globally
Toktarova, A., Gruber, L., Hlusiak, M., Bogdanov, D., & Breyer, C. (2019) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2019.03.055 · Cited by 126
Pinheiro, M. G., Madeira, S. C., & Francisco, A. P. (2023) · Applied Energy · doi:10.1016/j.apenergy.2022.120493 · Cited by 119
Dominguez-Jimenez, J. A., Campillo, J. E., Montoya, O. D., Delahoz, E., & Hernández, J. C. (2020) · Sustainability · doi:10.3390/su12187769 · Cited by 28
Metadata
- Authors
- Hahn, H., Meyer-Nieberg, S., & Pickl, S.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 199
- Issue
- 3
- Pages
- 902-907
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W2001165499
- Cited by
- 549
- References
- 36
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Electric load forecasting methods: Tools for decision making. https://app.cochat.ai/papers/10.1016/j.ejor.2009.01.062
- The paper
- Hahn, H., Meyer-Nieberg, S., & Pickl, S. (2009). Electric load forecasting methods: Tools for decision making. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2009.01.062
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.
