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

• Main Author: Dannecker, Lars (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2015.
• Edition: 1st ed. 2015.
• Subjects: Computer science.; Data structures (Computer science).; Computers.; Computer Science.; Data Structures, Cryptology and Information Theory.; Theory of Computation.; Information Systems and Communication Service.

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...

Table of 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-Aware Storage.