The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Review on probabilistic forecasting of photovoltaic power production and electricity consumption
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
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
Photovoltaic and solar power forecasting for smart grid energy management
Wan, C., Zhao, J., Song, Y., Xu, Z., Lin, J., & Hu, Z. (2015) · CSEE Journal of Power and Energy Systems · doi:10.17775/cseejpes.2015.00046 · Cited by 654
On recent advances in PV output power forecast
Raza, M. Q., Nadarajah, M., & Ekanayake, C. (2016) · Solar Energy · doi:10.1016/j.solener.2016.06.073 · Cited by 544
Ensemble methods for wind and solar power forecasting—A state-of-the-art review
Ren, Y., Suganthan, P. N., & Srikanth, N. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.04.081 · Cited by 435
Cited by
Aslam, S., Herodotou, H., Mohsin, S. M., Javaid, N., Ashraf, N., & Aslam, S. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.110992 · Cited by 649
Fundamentals and business model for resource aggregator of demand response in electricity markets
Lu, X., Li, K., Xu, H., Wang, F., Zhou, Z., & Zhang, Y. (2020) · Energy · doi:10.1016/j.energy.2020.117885 · Cited by 293
Jamia Millia Islamia (A Central University), & Mateen, S. (2022) · CPSS Transactions on Power Electronics and Applications · doi:10.24295/cpsstpea.2022.00020 · Cited by 42
Metadata
- Authors
- van der Meer, D. W., Widén, J., & Munkhammar, J.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 81
- Pages
- 1484-1512
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2622052728
- Cited by
- 481
- References
- 7
- FWCI
- 19.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- van der Meer, D. W., Widén, J., & Munkhammar, J. (2018). Review on probabilistic forecasting of photovoltaic power production and electricity consumption. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2017.05.212
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.
