Analysis of Dynamic Mode Decomposition of Temperature and Relative Humidity Time Series in a Simulated Greenhouse

کد مقاله : 1740-ISME2025

نویسندگان

نوروز محمد نوری * دانشگاه علم و صنعت

چکیده مقاله

Accurate control of greenhouse microclimates is crucial for optimizing crop production. Simplified models, such as the perfectly stirred tank approach, are often used as a valid assumption for understanding the complex system of greenhouses. This study applies Dynamic Mode Decomposition (DMD) to analyze time series temperature and relative humidity data in a simulated greenhouse environment. Data were generated over 30 days, and the first day was Eliminated from the data set, assuming homogeneous mixing within the greenhouse. The algorithm was implemented in C++ using the Eigen 4.3.0 and VTK libraries and Visual Studio as an integrated development environment (IDE). The DMD reconstructed the data with a relative error of less than 10-13, which indicates the ability of This method in time series analysis. rithm was implemented in C++ using the Eigen 4.3.0 and VTK libraries and Visual Studio as an integrated development environment (IDE). using the Eigen 4.3.0 and VTK libraries and Visual Studio as an integrated development environm

کلیدواژه ها

Dynamic mode decomposition, Time-series analysis, Greenhouse modeling, Data-driven, Reduced Order Models

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