The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Energy Forecasting: A Review and Outlook
Open accessAbstract
Forecasting has been an essential part of the power and energy industry. Researchers and practitioners have contributed thousands of papers on forecasting electricity demand and prices, and renewable generation (e.g., wind and solar power). This article offers a brief review of influential energy forecasting papers; summarizes research trends; discusses importance of reproducible research and points out six valuable open data sources; makes recommendations about publishing high-quality research papers; and offers an outlook into the future of energy forecasting.
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Citations
Cites
The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., et al. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0758.1 · Cited by 9,010
Another look at measures of forecast accuracy
Hyndman, R. J., & Koehler, A. B. (2006) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2006.03.001 · Cited by 5,757
A survey of cross-validation procedures for model selectionPreprint
Arlot, S., & Célisse, A. (2010) · Cited by 3,625
A survey of cross-validation procedures for model selection
Arlot, S., & Celisse, A. (2010) · Statistics Surveys · doi:10.1214/09-ss054 · Cited by 3,522
Bates, J. M., & Granger, C. W. J. (1969) · Journal of the Operational Research Society · doi:10.1057/jors.1969.103 · Cited by 3,201
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
Combining forecasts: A review and annotated bibliography
Clemen, R. T. (1989) · International Journal of Forecasting · doi:10.1016/0169-2070(89)90012-5 · Cited by 2,164
A review on the prediction of building energy consumption
Zhao, H.-X., & Magoulès, F. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.02.049 · Cited by 1,937
Probabilistic Forecasts, Calibration and Sharpness
Gneiting, T., Balabdaoui, F., & Raftery, A. E. (2007) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2007.00587.x · Cited by 1,783
Electricity price forecasting: A review of the state-of-the-art with a look into the future
Weron, R. (2014) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2014.08.008 · Cited by 1,646
Self-citation
Cited by
Markovics, D., & Mayer, M. J. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112364 · Cited by 490
Pinheiro, M. G., Madeira, S. C., & Francisco, A. P. (2023) · Applied Energy · doi:10.1016/j.apenergy.2022.120493 · Cited by 119
Metadata
- Authors
- Hong, T., Pinson, P., Wang, Y., Weron, R., Yang, D., & Zareipour, H.
- Venue
- IEEE Open Access Journal of Power and Energy
- Published
- 2020
- Volume
- 7
- Pages
- 376-388
- ISSN
- 2687-7910 (ISSN-L)
- OpenAlex
- W3024158773
- Cited by
- 621
- References
- 97
- FWCI
- 23.88
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hong, T., Pinson, P., Wang, Y., Weron, R., Yang, D., & Zareipour, H. (2020). Energy Forecasting: A Review and Outlook. IEEE Open Access Journal of Power and Energy. https://doi.org/10.1109/oajpe.2020.3029979
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.
