Optimal electricity market for wind power

By H. Holttinen. 2004

205 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/755c50e3b18a2618268410cbc084021e52c3cba3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Benjamin F. Hobbs
2. Chris J. Dent
3. Erasmo Cadenas
4. Janusz W. Bialek
5. Wilfrido Rivera
6. Mahdi Khodayar
7. Jianhui Wang
8. Yuzeng Li

Citations in the corpus

• Opportunity Cost Bidding by Wind Generators in Forward Markets: Analytical Results (2011, background): “, [13]–[15]), and designi ng power markets to minimise imbalance costs to wind generator s [16].”
• Short term wind speed forecasting in La Venta, Oaxaca, México, using artificial neural networks (2009, methodology): “The models for wind forecasting and power generation are valuable support tools to support the operators of the Electric Utility Control Centre (EUCC) [9,10].”
• Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power (2007, unknown): “Some of them focus on the use of point predictions and relate the accuracy of the forecasts to the resulting regulation costs [4], [5].”