Development and Optimization of Artificial Neural Network Algorithms in the Prediction of Ambient Temperature

Modelling project

References

Demirezen, G., & Fung, A. S. (2019). Application of artificial neural network in the prediction of ambient temperature for a cloud-based smart dual fuel switching system. Energy Procedia, 158, 3070-3075. https://doi.org/10.1016/j.egypro.2019.01.992

Description

This model is applicable world-wide but more appropriate for cold North American Climate due to the nature of our Smart Dual Fuel Switching System. The full study is submitted as a journal paper and under review at the moment.

Users

hvac industry, thermostat companies

Key Inputs

ambient temperature from various weather stations, weather related parameters such as wind speed, humidity

Key Outputs

Ambient Temperature

Registered developers

NameOrganization
Gulsun DemirezenRyerson University