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Different ML methods were used to predict air cell height.
Plume Labs has designed its own algorithm to predict air pollution around the world.
Climatologists predict air temperatures in the region will rise 2°C over the next century.
Wang et al. (2008) used a system dynamic model to predict air pollution in Dalian.
A simple dynamic model was developed to predict air temperature, vapor pressure and canopy temperatures.
The same corrections are used to predict air temperatures for a modified configuration of the oven and a different vehicle.
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Extremely good agreement between the predicted and measured values confirms that ANFIS model can be successfully used to predict air-demand ratio in venturi weirs.
In this section, half-hourly metered customer load data from Ausgrid, combined with local weather data is used to develop an expert system which can predict air-conditioners existence and identify consumption patterns.
In this paper, the residential load data from Ausgrid combined with local weather data is used to develop an expert system, which can predict air-conditioner existence and identify usage patterns.
After that, half-hourly metered customer load data from Ausgrid, combined with local weather data is used to develop an algorithm which can predict air-conditioner existence and identify consumption patterns and peak demand, followed by the determination of residential air-conditioning's impacts on the whole power network.
Therefore, the aim of this study was to predict air-drying times for piled logs of E. globulus and E. nitens, specifically to (i) assess the influence of species, log diameter and length, and debarking on daily MC loss; (ii) correlate daily MC loss with meteorological variables; and (iii) discuss the possibility of applying such a model under different environmental conditions.
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