Renewable Energy Sources—Modeling and Forecasting

Juan M. Morales (), Antonio J. Conejo (), Henrik Madsen (), Pierre Pinson () and Marco Zugno ()
Additional contact information
Juan M. Morales: Technical University of Denmark
Antonio J. Conejo: University of Castilla – La Mancha
Henrik Madsen: Technical University of Denmark
Pierre Pinson: Technical University of Denmark
Marco Zugno: Technical University of Denmark

Chapter 2 in Integrating Renewables in Electricity Markets, 2014, pp 15-56 from Springer

Abstract: 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.

Keywords: Renewable Energy; Lead Time; Renewable Energy Source; Forecast Error; Wind Farm (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4614-9411-9_2

Ordering information: This item can be ordered from
http://www.springer.com/9781461494119

DOI: 10.1007/978-1-4614-9411-9_2

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().