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

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

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

DANNECKER, Lars - Personal Name;

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.

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Series Title: -
Call Number: -
Publisher: : ., 2015
Collation: 73 b/w illustrations, 19 illustrations in colour
Language: English
ISBN/ISSN: 978-3-658-11039-0
Classification: NONE
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: -
Subject(s): Computer Communication Networks
Theory of Computation
Data Structures and Information Theory
Specific Detail Info: -
Statement of Responsibility: Lars Dannecker

Other Information

Cataloger: agus
Source: -

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

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