Short Term Local Meteorological Forecasting Using Type-2 Fuzzy Systems
Lecture notes in computer sciencePublished 1 January 2006
Arianna Mencattini, Marcello Salmeri, S. Bertazzoni, R. Lojacono, Eros Pasero, W. Moniaci
Citations8
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SJR score0.35
SNIP0.55
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TL;DR
In this paper a “local level” approach, based on time series forecasting using Type-2 Fuzzy Systems, is proposed, and in particular temperature forecasting is inspected.
Abstract
Meteorological forecasting is an important issue in research. Typically, the forecasting is performed at "global level," by gathering data in a large geographical region and by studying their evolution, thus foreseeing the meteorological situation in a certain place. In this paper a "local level" approach, based on time series forecasting using Type-2 Fuzzy Systems, is proposed. In particular temperature forecasting is in-spected. The Fuzzy System is trained by means of historical local time series. The algorithm uses a detrend procedure in order to extract the chaotic component to be predicted.
Keywords
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