Prediction and Modelling of Energy Consumption on Temperature Control for Greenhouses

Year 2019, Volume: 22 Issue: 1, 213 - 217, 01.03.2019

Semih Özden Mahir Dursun Ahmet Aksöz Ali Saygın

https://doi.org/10.2339/politeknik.417757

Cited By: 3

Abstract

Prediction of the energy consumption is the most
important topic for planning to build an energy power station. This energy
power station can be non-renewable sources power plants or renewable power
plants like wind and solar. Prediction of the energy consumption also figures
out load modeling problem in new smart grid applications. In this study, energy
consumption model is developed for temperature control of a greenhouse.
Artificial Neural Network based modeling is advanced with temperature of inner,
temperature of outer and temperature of soil. So, these temperatures are inputs
in the ANN based model. In addition, the output of the ANN is energy demand
that is strongly related with temperature data.

Keywords

Artificial neural network, greenhouse, modeling, temperature control, energy consumption

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