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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dannecker, Lars (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2015.
Edición:1st ed. 2015.
Temas:
Data structures (Computer science).
Information theory.
Computer science.
Computer networks .
Data Structures and Information Theory.
Theory of Computation.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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