Productivity forecasting of solar distiller integrated with evacuated tubes and external condenser using artificial intelligence model and moth-flame optimizer

Productivity forecasting of solar distiller integrated with evacuated tubes and external condenser using artificial intelligence model and moth-flame optimizer

This paper aims at developing an artificial intelligence model to forecast the water yield of a modified solar distiller integrated with evacuated tubes and an external condenser. The model consists of a hybrid long short-term memory (LSTM) model optimized by a moth-flame optimizer (MFO) used as a s...

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Bibliographic Details
Main Authors: Ammar H. Elsheikh, Hitesh Panchal, Mahmoud Ahmadein, Ahmed O. Mosleh, Kishor Kumar Sadasivuni, Naser A. Alsaleh
Format: article
Language:EN
Published: Elsevier 2021
Subjects:
Solar distiller
Evacuated tubes
External condenser
Forecasting
Moth-flame optimizer
LSTM neural Network
Engineering (General). Civil engineering (General)
TA1-2040
Online Access:https://doaj.org/article/7b27b3610543451bab385dc651ffc0fe
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https://doaj.org/article/7b27b3610543451bab385dc651ffc0fe

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