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One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models
(Inderscience, 2016)
This paper proposes two hybrid grey-based short-term wind power prediction techniques: GM(1,1)-ARMA and GM(1,1)-NARnet. These techniques are combined with ARMA models and nonlinear autoregressive neural network (NARnet) ...
Prediction of Turbulence Statistics in a Model Dump Combustor Using Artificial Neural Networks
(2011-05)
The flowfield characteristics downstream of an axisymmetric suddenexpansion dump combustor model are important to designers of gas turbines and liquid-fuel ramjets ducted rockets. Many experimental techniques such as Laser ...
Modeling Smartphone Power
(2013-06)
Battery technology has not advanced rapidly enough to keep pace with the growing energy demands of today's portable electronics. Leading this critical need for energy are smartphone devices which are being deployed and ...
Modeling of Tool Wear when Turning of TI-6AL-4V Titanium Alloy
(2013-02)
Difficult-to-cut materials are widely used particularly in the aerospace and automotive industries. However, the high cost of processing these materials limits the use of their improved mechanical properties. Tool life is ...
Modelling the Impact of Bottlenecks on Arterial Travel Time Using Neural Networks
(2012-06)
Bottlenecks along signalized arterials are a major cause of capacity reduction and delay, which directly impact travel time along specific routes within an urban network. This research addresses the impacts of bottlenecks ...
Investigating and Modeling the Acoustic Release of Doxorubicin from Folate Targeted Micelles
(2012-06)
To minimize the adverse side effects of conventional chemotherapy, a targeted micellar drug carrier was investigated that retains hydrophobic drugs in its core and then releases the drug via ultrasound. This thesis reports ...