Forecasting peak energy demand for smart buildings
Predicting energy consumption in buildings plays an important part in the process of digital
transformation of the built environment, and for understanding the potential for energy …
transformation of the built environment, and for understanding the potential for energy …
Application of artificial neural network for forecasting standardized precipitation and evapotranspiration index: a case study of Nigeria
AT Ogunrinde, PG Oguntunde… - Engineering …, 2020 - Wiley Online Library
The necessity to perform an accurate prediction of future characteristics of drought requires
a robust and efficient technique that can deduce from historical data the stochastic …
a robust and efficient technique that can deduce from historical data the stochastic …
Bandung rainfall forecast and its relationship with Niño 3.4 using nonlinear autoregressive exogenous neural network
The city of Bandung, as the capital city of West Java, is one of several areas in Indonesia
with high rainfall. This situation can cause disasters, such as floods and landslides, that can …
with high rainfall. This situation can cause disasters, such as floods and landslides, that can …
Decarbonising Ventilation Heating Networks in Commercial Buildings: Novel Static Artificial Neural Network
T Lu, X Lv, D Clements-Croome - Decarbonising Ventilation Heating … - papers.ssrn.com
In commercial buildings and districts, district heating substations typically feature two
separate networks: space heating and ventilation heating. The ventilation heating network …
separate networks: space heating and ventilation heating. The ventilation heating network …