Prediction and Modelling of Energy Consumption on Temperature Control for Greenhouses

Semih ÖZDEN; Mahir DURSUN; Ahmet AKSÖZ; Ali SAYGIN

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

Article Details

Prediction and Modelling of Energy Consumption on Temperature Control for Greenhouses

Authors:

Semih ÖZDEN | Mahir DURSUN | Ahmet AKSÖZ | Ali SAYGIN

Publisher:

Gazi University

Main Topics:

Applied physics

Journal:

Journal of Polytechnic 2019 Vol.22 Issue 1, pp.213-217

Document Type:

Article

Publication Date:

2/2019

Document Language:

English

Document ID (Org No.):

2000590337

Frequency:

Monthly

eISSN:

2147-9429

DOI:

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

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. 

.

 


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. 

.

Article Details

Prediction and Modelling of Energy Consumption on Temperature Control for Greenhouses

Authors: Semih ÖZDEN | Mahir DURSUN | Ahmet AKSÖZ | Ali SAYGIN

Publisher: Gazi University

Main Topics: Applied physics

Journal: Journal of Polytechnic 2019 Vol.22 Issue 1, pp.213-217

Document Type: Article

Publication Date: 2/2019

Document Language: English

Document ID (Org No.): 2000590337

Frequency: Monthly

eISSN: 2147-9429

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

Issues

Authors:

Semih ÖZDEN | Mahir DURSUN | Ahmet AKSÖZ | Ali SAYGIN

Publisher:

Gazi University

Main Topics:

Applied physics

Journal:

Journal of Polytechnic 2019 Vol.22 Issue 1, pp.213-217

Document Type:

Article

Publication Date:

2/2019

Document Language:

English

Document ID (Org No.):

2000590337

Frequency:

Monthly

eISSN:

2147-9429

DOI:

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