Now showing items 21-24 of 24
Comparative study of a building energy performance software (KEP-IYTE-ESS) and ANN-based building heat load estimation
The several parameters affect the heat load of a building; geometry, construction, layout, climate and the users. These parameters are complex and interrelated. Comprehensive models are needed to understand relationships ...
Prediction of the bottom ash formed in a coal-fired power plant using artificial neural networks
he amount of bottom ash formed in a pulverized coal-fired power plant was predicted by artificial neural network modeling using one-year operating data of the plant and the properties of the coals processed. The model ...
Energy efficient resource allocation for underlaying multi-D2D enabled multiple-antennas communications
(Institute of Electrical and Electronics Engineers, 2020-06)
Energy efficiency has a significant importance to optimize the wireless communications systems by providing high data rates. In order to develop energy efficient systems, one of the promising methods is to use multiple ...
Prediction of suspended sediment concentration from water quality variables
This study investigates use of water quality (WQ) variables, namely total chromium concentration, total iron concentration, and turbidity for predicting suspended sediment concentration (SSC). For this purpose, the artificial ...