NDLI: Short-term external air temperature prediction for an intelligent greenhouse by mining climatic time series

Content Provider	IEEE Xplore Digital Library
Author	Eredics, P.
Copyright Year	2009
Description	Author affiliation: Budapest University of Technology and Economics, 2. Magyar tudósok krt. Budapest, 1117 Hungary (Eredics, P.)
Abstract	Climate control for intelligent greenhouses is currently an active field of research. Model based intelligent greenhouse control systems seem to increase the control performance over traditional solutions. In this paper the control intelligence means the preferably minimal maintenance (heating) cost, within the climatic conditions required to grow sensitive floral cultures. To this purpose it is not enough merely to follow optimally some particular temperature profile. Costs can be minimized if the internal air temperature is predictable within a reasonable time span, and this depends on how well we can predict the dynamics of the external air temperature. The problem is closely related to the prediction of the actual weather conditions within the immediate environment of the greenhouse. The paper demonstrates the limited performance of uninformed, simple methods for temperature forecasts, and introduces more accurate solutions using information from the problem domain.
Starting Page	317
Ending Page	322
File Size	219269
Page Count	6
File Format	PDF
ISBN	9781424450572
DOI	10.1109/WISP.2009.5286544
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-26
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Costs Biological system modeling Weather forecasting Predictive models Control systems Economic forecasting Temperature control Environmental economics Intelligent control
Content Type	Text
Resource Type	Article

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