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

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Strategisches Management — Grundlagens 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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Die Erforschung der strahlenden Natur, 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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https://doi.org/10.1007/978-3-642-97865-4 grid. While large number of accurate forecast models already exist, new developments in the electricity markets of different countries worldwide pose new requirements on the forecasting calculation process. The electricity market changed from a static oneday ahead market to a more flexible and dyna

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Lars DanneckerStudy in computer science.Includes supplementary material:

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Introduction,ins such as sales, traffic control, and energy management [119]. Instead of solely analyzing data of the past, forecasting allows to take a look into possible future developments, which is of great value when making strategic decisions. Thus, it comes at no surprise that forecasting is gaining more