Energy Time Series Forecasting (Record no. 52210)

000 -LEADER
fixed length control field 03591nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-3-658-11039-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220226.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150806s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783658110390
-- 978-3-658-11039-0
082 04 - CLASSIFICATION NUMBER
Call Number 005.74
100 1# - AUTHOR NAME
Author Dannecker, Lars.
245 10 - TITLE STATEMENT
Title Energy Time Series Forecasting
Sub Title Efficient and Accurate Forecasting of Evolving Time Series from the Energy Domain /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2015.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIX, 231 p. 92 illus., 19 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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 Universit�at Dresden. Contents 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-AwareStorage Target Groups Lecturers and Students of Computer Science, especially in the Field of Database Technology, Data Analytics, Time Series Analysis, and Data Mining Data Analysts, Energy Time Series Modeling, Transmission System Operators, Software Developers The Author Lars Dannecker holds a diploma in media computer science from the Technische Universit�at Dresden and is pursuing a doctorate as a member of the Database Technology Group led by Prof. Dr.-Ing. Wolfgang Lehner.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-658-11039-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Wiesbaden :
-- Springer Fachmedien Wiesbaden :
-- Imprint: Springer Vieweg,
-- 2015.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data structures (Computer science).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computers.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Structures, Cryptology and Information Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Theory of Computation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Systems and Communication Service.
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-- ZDB-2-SCS

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