The work in this thesis examines time-frequency analysis techniques and in particular the wavelet transform to extract the features contained within the electrical load signals. A novel approach that is based on wavelet ...

Micromanipulation in microtechnology is highly needed for microfabrication and biomedical applications. Specifically, high manipulation resolution combined with accurate macromotions plays a more crucial role especially ...

Non-intrusive load monitoring is the concept of determining the operational loads using single-point sensing. The features contained within the electrical load’s signal are used to identify a unique signature which is ...

The ability to predict financial markets has tremendous potential to limit exposure to risk and provide better assurances of annualized gains. In this thesis, a model for predicting the future daily price of Bitcoin is ...

In this study, an optimal planning with respect to capacity sizes and types of prime movers for CHP systems within micro energy grids has been discussed. The objective is to minimize the total net present cost, carbon ...

Flow-excited acoustic resonance in heat exchangers has been an ongoing issue for the past century. The main challenge in this issue, is in the actual prediction of the resonance occurrence. This is due to the complexity ...

The growing implications of climate change have created an increasing demand for clean and renewable energy sources. Solar photovoltaics (PV) are increasingly popular as an alternative energy source due to the fact that ...

Take a look at the world around us. There has been tremendous change in the way of living. With the world around us getting smart, Internet of Things is gaining ground in our life. Applications like smart home and eHealth ...

The Copper Chlorine (Cu-Cl) hydrogen production cycle is a promising green method to meet the future demand for hydrogen. The Cu-Cl cycle has a number of endothermic reactions that take place at high temperature level. One ...