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An analog ensemble for short-term probabilistic solar power forecast
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R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
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A comprehensive meteorological modeling system?RAMS
Pielke, R. A., Cotton, W. R., Walko, R. L., Tremback, C. J., Lyons, W. A., Grasso, L. D., Nicholls, M. E., Moran, M. D., Wesley, D. A., Lee, T. J., et al. (1992) · Meteorology and Atmospheric Physics · doi:10.1007/bf01025401 · Cited by 1,695
Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
Hersbach, H. (2000) · Weather and Forecasting · doi:10.1175/1520-0434(2000)015<0559:dotcrp>2.0.co;2 · Cited by 1,531
Making and Evaluating Point Forecasts
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Interpretation of Rank Histograms for Verifying Ensemble Forecasts
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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
Adnan, N., Md Nordin, S., bin Bahruddin, M. A., & Ali, M. (2018) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2018.10.019 · Cited by 315
Zhang, Z., Ye, L., Qin, H., Liu, Y., Wang, C., Yu, X., Yin, X., & Li, J. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.04.047 · Cited by 299
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
Metadata
- Authors
- Alessandrini, S., Delle Monache, L., Sperati, S., & Cervone, G.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 157
- Pages
- 95-110
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W1120922828
- Cited by
- 362
- References
- 40
- FWCI
- 28.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Alessandrini, S., Delle Monache, L., Sperati, S., & Cervone, G. (2015). An analog ensemble for short-term probabilistic solar power forecast. Applied Energy. https://doi.org/10.1016/j.apenergy.2015.08.011
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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.
