Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
249270 | Building and Environment | 2007 | 7 Pages |
Abstract
In this paper, stochastic approach with Autoregressive Integrated Moving Average (ARIMA) based techniques are applied to generate solar radiation, temperature and relative humidity forecast with the purpose of being incorporated within agricultural facilities predictive control strategy. This study opens a new perspective about light on the characteristics of solar radiation, temperature and relative humidity and may help planners in agriculture and related industries.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Kadri Yürekli, Hüseyin Simsek, Bilal Cemek, Sedat Karaman,