The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond
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Citations
Cites
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
Cited by
Solar photovoltaic generation forecasting methods: A review
Sobri, S., Koohi-Kamali, S., & Rahim, N. A. (2018) · Energy Conversion and Management · doi:10.1016/j.enconman.2017.11.019 · Cited by 990
Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions
Andrade, J. R., & Bessa, R. J. (2017) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2017.2694340 · Cited by 292
Data-Driven Probabilistic Net Load Forecasting With High Penetration of Behind-the-Meter PV
Wang, Y., Zhang, N., Chen, Q., Kirschen, D. S., Li, P., & Xia, Q. (2018) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2017.2762599 · Cited by 292
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting With the Diffusion Model
Wang, Z., Wen, Q., Zhang, C., Sun, L., & Wang, Y. (2025) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2024.3449032 · Cited by 34
Modern Machine Learning Methods for Time Series Analysis
Huang, C., & Petukhina, A. (2022) · Statistics and Computing · doi:10.1007/978-3-031-13584-2_10 · Cited by 2
Metadata
- Authors
- Hong, T., Pinson, P., Fan, S., Zareipour, H., Troccoli, A., & Hyndman, R. J.
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 32
- Issue
- 3
- Pages
- 896-913
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W2296521892
- Cited by
- 1,044
- References
- 1
- FWCI
- 45.74
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond. https://app.cochat.ai/papers/10.1016/j.ijforecast.2016.02.001
- The paper
- Hong, T., Pinson, P., Fan, S., Zareipour, H., Troccoli, A., & Hyndman, R. J. (2016). Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2016.02.001
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.
