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Short-term load forecasting
Abstract
This paper discusses the state of the art in short-term load forecasting (STLF), that is, the prediction of the system load over an interval ranging from one hour to one week. The paper reviews the important role of STLF in the on-line scheduling and security functions of an energy management system (EMS). It then discusses the nature of the load and the different factors influencing its behavior. A detailed classification of the types of load modeling and forecasting techniques is presented. Whenever appropriate, the classification is accompanied by recommendations and by references to the literature which support or expand the discussion. The paper also presents a lengthy discussion of practical aspects for the development and usage of STLF models and packages. The annotated bibliography offers a representative selection of the principal publications in the STLF area.
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Citations
Cited by
Ortega-Vazquez, M. A., & Kirschen, D. S. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.2004745 · Cited by 665
Electric load forecasting methods: Tools for decision making
Hahn, H., Meyer-Nieberg, S., & Pickl, S. (2009) · European Journal of Operational Research · doi:10.1016/j.ejor.2009.01.062 · Cited by 549
Short-term electricity prices forecasting in a competitive market: A neural network approach
Catalão, J. P. S., Mariano, S. J. P. S., Mendes, V. M. F., & Ferreira, L. A. F. M. (2007) · Electric Power Systems Research · doi:10.1016/j.epsr.2006.09.022 · Cited by 406
Sadaei, H. J., de Lima e Silva, P. C., Guimarães, F. G., & Lee, M. H. (2019) · Energy · doi:10.1016/j.energy.2019.03.081 · Cited by 325
Review and prospect of data-driven techniques for load forecasting in integrated energy systems
Zhu, J., Dong, H., Zheng, W., Li, S., Huang, Y., & Xi, L. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119269 · Cited by 298
Metadata
- Authors
- Gross, G., & Galiana, F. D.
- Venue
- Proceedings of the IEEE
- Published
- 1987
- Volume
- 75
- Issue
- 12
- Pages
- 1558-1573
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2067576900
- Cited by
- 878
- References
- 0
- FWCI
- 6.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Short-term load forecasting. https://app.cochat.ai/papers/10.1109/proc.1987.13927
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- Gross, G., & Galiana, F. D. (1987). Short-term load forecasting. Proceedings of the IEEE. https://doi.org/10.1109/proc.1987.13927
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.