On the limits of probabilistic forecasting in nonlinear times series analysis
Author:
Affiliation:
1. Centro de Investigación Operativa, Universidad Miguel Hernández, 03202 Elche, Spain
2. The Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan
Funder
The University of Tokyo (Japan)
Japan Society for the Promotion of Science (JSPS)
Publisher
AIP Publishing
Subject
Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics
Link
http://aip.scitation.org/doi/pdf/10.1063/1.4971412
Reference11 articles.
1. Wind Energy: Forecasting Challenges for Its Operational Management
2. A Bayesian Method for Short-Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control
3. Forecasting large aftershocks within one day after the main shock
4. Pseudo-Orbit Data Assimilation. Part I: The Perfect Model Scenario
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