Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
Short-term load prediction, which forecasts a building's thermal load with a lead time ranging
from seconds to a few days, is essential for not only monitoring and controlling the system …
from seconds to a few days, is essential for not only monitoring and controlling the system …
Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
L Wang, EWM Lee, RKK Yuen - Applied Energy, 2018 - ideas.repec.org
Short-term load prediction, which forecasts a building's thermal load with a lead time ranging
from seconds to a few days, is essential for not only monitoring and controlling the system …
from seconds to a few days, is essential for not only monitoring and controlling the system …
Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
L Wang, EWM Lee, RKK Yuen - Applied Energy, 2018 - ui.adsabs.harvard.edu
Short-term load prediction, which forecasts a building's thermal load with a lead time ranging
from seconds to a few days, is essential for not only monitoring and controlling the system …
from seconds to a few days, is essential for not only monitoring and controlling the system …
Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
L Wang, EWM Lee, RKK Yuen - Applied Energy, 2018 - scholars.cityu.edu.hk
Short-term load prediction, which forecasts a building's thermal load with a lead time ranging
from seconds to a few days, is essential for not only monitoring and controlling the system …
from seconds to a few days, is essential for not only monitoring and controlling the system …
Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
L Wang, EWM Lee, RKK Yuen - Applied Energy, 2018 - econpapers.repec.org
Short-term load prediction, which forecasts a building's thermal load with a lead time ranging
from seconds to a few days, is essential for not only monitoring and controlling the system …
from seconds to a few days, is essential for not only monitoring and controlling the system …
Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
L Wang, EWM Lee, RKK Yuen - Applied Energy, 2018 - inis.iaea.org
[en] Highlights:• Developing building cooling forecasting model for energy saving of HVAC
system.• Forecasting step-ahead building cooling load by time series prediction.• …
system.• Forecasting step-ahead building cooling load by time series prediction.• …
[引用][C] Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
L Wang, EWM Lee, RKK Yuen - Applied Energy, 2018 - scholars.cityu.edu.hk
Novel dynamic forecasting model for building cooling loads combining an artificial neural
network and an ensemble approach - CityU Scholars | A Research Hub of Excellence …
network and an ensemble approach - CityU Scholars | A Research Hub of Excellence …