Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron
Water shortage in arid and semi-arid land is one of the most important challenges of decision-makers. The seawater greenhouse (SWG) is a useful solution for water supply in the agriculture sector. The optimal design of a SWG with lower consumption of energy and higher freshwater production is a real...
Saved in:
Main Authors: | Ehteram, Mohammad, Ahmed, Ali Najah, Kumar, Pavitra, Sherif, Mohsen, El-Shafie, Ahmed |
---|---|
Format: | Article |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/26232/ https://doi.org/10.1016/j.egyr.2021.09.079 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron
by: Ehteram M., et al.
Published: (2023) -
An advanced deep learning model for predicting water quality index
by: Ehteram, Mohammad, et al.
Published: (2024) -
Automatic greenhouse watering system and monitoring
by: Mohammad Izhan, Jafry
Published: (2007) -
Hydrate Phase Equilibrium for Methane in Synthetic Seawater
by: Rian Farisha Bt Ajaz Ahmad Khan, Rian
Published: (2012) -
Deep learning model on rates of change for multi-step ahead streamflow forecasting
by: Tan, Woon Yang, et al.
Published: (2023)