Titlebook: Energy Time Series Forecasting; Efficient and Accura Lars Dannecker Book 2015 Springer Fachmedien Wiesbaden 2015 Der Europ?ische Strommarkt

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The Online Forecasting Process: Efficiently Providing Accurate Predictions,s well as the identified general challenges for forecasting in the energy domain (compare Section 3.5), we now introduce a novel online forecasting process that tackles these challenges and requirements. The online forecasting process uses forecast model materialization in conjunction with flexible,

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Optimizations on the Logical Layer: Context-Aware Forecasting, physical layer are necessary to fully realize the efficiency improvements. In this chapter, we discuss approaches on the logical layer. In the energy domain we can observe a strong dependence of the time series development on external factors and background processes (compare Section 3.1.3). The en

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Optimizations on the Physical Layer: A Forecast-Model-Aware Time Series Storage,anization and agnostic to the chosen forecast models. However, optimizations on the logical layer do not influence the way data is stored and handled within main memory and the way modern hardware can be utilized to improve the forecasting calculations. Thus, to further improve the forecasting effic

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0921-092X lso useful for managers in the private, public, and not-for-profit sectors. Further, it is a valuable resource for students at both undergraduate and postgraduate levels, and an indispensable guide for anyone w978-3-030-38154-7978-3-030-38152-3Series ISSN 0921-092X Series E-ISSN 1872-4663