The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Recent advances in electricity price forecasting: A review of probabilistic forecasting
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Citations
Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000016 · Cited by 17,075
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-citationDawid, A. P. (1984) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2981683 · Cited by 1,085
Good, I. J. (1952) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1952.tb00104.x · Cited by 976
Diebold, F. X. (2015) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2014.983236 · Cited by 496
Verification of forecasts expressed in terms of probability
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078%3c0001:vofeit%3e2.0.co;2 · cited 5×
“Bello et al. [65] compare a number of methods: logistic regression, decision trees, multilayer perceptons as well as a hybrid approach that merges logistic regression with a fundamental market equilibrium model, and evaluate the forecasts with the Brier score [16, 66].”
BackgroundMethodInfluential
Cited by
Lu, R., Hong, S. H., & Yu, M. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2019.2909266 · Cited by 389
Battery health prediction under generalized conditions using a Gaussian process transition model
Richardson, R. R., Osborne, M. A., & Howey, D. A. (2019) · Journal of Energy Storage · doi:10.1016/j.est.2019.03.022 · Cited by 212
Metadata
- Authors
- Nowotarski, J., & Weron, R.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 81
- Pages
- 1548-1568
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2547882662
- Cited by
- 552
- References
- 8
- FWCI
- 18.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Recent advances in electricity price forecasting: A review of probabilistic forecasting. https://app.cochat.ai/papers/10.1016/j.rser.2017.05.234
- The paper
- Nowotarski, J., & Weron, R. (2018). Recent advances in electricity price forecasting: A review of probabilistic forecasting. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2017.05.234
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.
