Forecasting cooling load and water demand of a semi-closed greenhouse using a hybrid modelling approach

Forecasting the greenhouse cooling and water demand is critical for improving the performance, reducing energy consumption, and operating costs throughout the year. This research proposes a hybrid modelling approach by analyzing machine learning models to determine the most suitable algorithm for a...

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Vydané v:	International journal of ambient energy Ročník 43; číslo 1; s. 8046 - 8066
Hlavní autori:	Mahmood, Farhat, Govindan, Rajesh, Yang, David, Bermak, Amine, Al-Ansari, Tareq
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 31.12.2022
Predmet:	agriculture Food security forecasting greenhouse machine learning
ISSN:	0143-0750, 2162-8246
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