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2014 | OriginalPaper | Buchkapitel

2. Renewable Energy Sources—Modeling and Forecasting

verfasst von : Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno

Erschienen in: Integrating Renewables in Electricity Markets

Verlag: Springer US

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Abstract

Short-term forecasts of renewable power generation are a necessary input to nearly all operational problems in electricity markets. For instance, both market and system operators may use them for the clearing of day-ahead and real-time electricity markets. In addition, market participants rely on forecasts for determining their optimal offering strategies in view of uncertainties brought in by renewable energy production. The various forms of renewable power predictions are introduced here based on real-world examples. Special emphasis is placed on probabilistic forecasts in their general form and to scenarios mimicking spatial and temporal dependencies, as well as potential dependencies among different types of renewable energy sources. The way forecasts are issued and subsequently evaluated is also covered.

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Fußnoten
1
UTC actually stands for Coordinated Universal Time, which is a time standard by which we regulate time and clocks.
 
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Metadaten
Titel
Renewable Energy Sources—Modeling and Forecasting
verfasst von
Juan M. Morales
Antonio J. Conejo
Henrik Madsen
Pierre Pinson
Marco Zugno
Copyright-Jahr
2014
Verlag
Springer US
DOI
https://doi.org/10.1007/978-1-4614-9411-9_2