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
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.
hvac industry, thermostat companies
- Key Inputs
ambient temperature from various weather stations, weather related parameters such as wind speed, humidity
- Key Outputs
|Gulsun Demirezen||Ryerson University|