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Development Of A Novel Kalman Filter Bank Predictor To Optimally Schedule The Renewable Energy Contribution Within A Micro-Grid, Conor Lynch
Theses
This PhD thesis presents a novel Kalman Filter Bank (KFB) methodology. The novel KFB is applied to predict and optimally schedule the operation of micro-grid energy resources with a public fixed-grid connection and an auxiliary battery storage backup facility. This methodology relies on a sliding single time step forecast projection to accurately acquire the anticipated schedule for a range of time dependent parameters, stochastic by nature, that have inherent embedded cyclical patterns. The innovative feature here consists of a novel bank of hourly adjacent Kalman Filter estimators, which operate in synchronism, for accurate parameter prediction over a selected time horizon. …
Semiconductor Materials And Devices For 2 Micron Generation, Dzianis Saladukha
Semiconductor Materials And Devices For 2 Micron Generation, Dzianis Saladukha
Theses
In the last century, semiconductor research has led to significant changes in the fields of communication, medicine, the environment, and many others. Semiconductor devices provide a relatively simple and effective way to convert electrical energy to light and vice versa. Devices based on semiconductor materials of various kinds provide interaction of an electromagnetic signal in the range of wavelengths with a medium. Examples of such devices are LED lamps, photovoltaic cells, thermometers, gas sensors, cameras, and many others. The study of various semiconductors broadens the range of application of photonics. This work is based on the study of materials which …