Publication
Estimating the horizon of predictability in time-series predictions using inductive modelling tools
Journal Article (2011)
Journal
International Journal of General Systems
Pages
263-282
Volume
40
Number
3
Doc link
http://dx.doi.org/10.1080/03081079.2010.536540
File
Abstract
This paper deals with the assessment of how far into the future a time series can be safely predicted using inductive modelling and extrapolation techniques. Three different time series are used to demonstrate the viability of the approaches presented in the paper: one time series representing the water demand of the city of Barcelona, another characterizing the demand of a section of Rotterdam.
Categories
control theory, optimisation.
Author keywords
inductive modelling, time-series prediction, fuzzy inductive reasoning, estimation of predictability horizon
Scientific reference
J. López, F.E. Cellier and G. Cembrano. Estimating the horizon of predictability in time-series predictions using inductive modelling tools. International Journal of General Systems, 40(3): 263-282, 2011.
Follow us!