Using Artificial Neural Networks with GridSearchCV for Predicting Indoor Temperature in a Smart Home
The acceleration of house technology via the use of mobile phones has made it easier to control houses, where occupants (especially older people) spend most of their time. The climate of Saudi Arabia, especially in the northern area, is too hot during summer and cold during winter. Control of the in...
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| Format: | Article |
| Language: | English |
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D. G. Pylarinos
2024-04-01
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| Series: | Engineering, Technology & Applied Science Research |
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| Online Access: | https://etasr.com/index.php/ETASR/article/view/7008 |