A Statistical Model for Wind Power Forecast Error and its Application to the Estimation of Penalties in Liberalized Markets
By Saurabh Tewari, Charles J. Geyer, Ned Mohan. IEEE Transactions on Power Systems, 2011
169 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/c14c89568ece3fd61892281fa478344915dca369
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In Electrical and Electronic Engineering
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Citations in the corpus
- Wind Speed Interval Prediction Based on Lorenz Disturbance Distribution (2020, background): “such as Cauchy distribution [19], Normal distribution [20], [21], Beta distribution [23], [24] and so on.”
- Rolling Optimization of Wind Farm and Energy Storage System in Electricity Markets (2015, background): “As mentioned above, reflects the influence of the forecast error, so it is a set of variables decided by the forecast errors [6], [19].”
- Scenario Generation of Wind Power Based on Statistical Uncertainty and Variability (2013, methodology): “In contrast to [24], [28] concludes that Beta distribution cannot be used to model the measured power for its given data sets.”