Energy Time Series Forecasting

Efficient and Accurate Forecasting of Evolving Time Series from the Energy Domain

(Autor)

Buch | Softcover
XIX, 231 Seiten
2015 | 1st ed. 2015
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-11038-3 (ISBN)

Lese- und Medienproben

Energy Time Series Forecasting - Lars Dannecker
74,89 inkl. MwSt

Lars Dannecker developed a novel online forecasting process that significantly improves how forecasts are calculated. It increases forecasting efficiency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre-requisite for ensuring stable electricity grids in the face of an increasing amount of renewable energy sources. It is also important to facilitate the move from static day ahead electricity trading towards more dynamic real-time marketplaces. The online forecasting process is realized by a number of approaches on the logical as well as on the physical layer that we introduce in the course of this book.

Nominated for the Georg-Helm-Preis 2015 awarded by the Technische Universität Dresden.

Lars Dannecker holds a diploma in media computer science from the Technische Universität Dresden and is pursuing a doctorate as a member of the Database Technology Group led by Prof. Dr.-Ing. Wolfgang Lehner. 

The European Electricity Market: A Market Study.- The Current State of Energy Data Management and Forecasting.- The Online Forecasting Process: Efficiently Providing Accurate Predictions.- Optimizations on the Logical Layer: Context-Aware Forecasting.- Optimizations on the Physical Layer: A Forecast-Model-Aware Storage.

Erscheint lt. Verlag 14.8.2015
Zusatzinfo XIX, 231 p. 92 illus., 19 illus. in color.
Verlagsort Wiesbaden
Sprache englisch
Maße 148 x 210 mm
Themenwelt Informatik Theorie / Studium Algorithmen
Schlagworte Computer Science • Data Structures, Cryptology and Information Theory • Der Europäische Strommarkt • Electric Power Consumption • Elektrizitätsverbrauch • Energiebedarf in der Zukunft • Energiemanagement und -prognose • Energy Data Management and Forecasting • Erneuerbarre Energien • Future Demand in Electricity • Information Systems and Communication Service • Renewable energy sources • The European Electricity Market • Theory of Computation
ISBN-10 3-658-11038-4 / 3658110384
ISBN-13 978-3-658-11038-3 / 9783658110383
Zustand Neuware
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