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Machine learning algorithms for photovoltaic system power output prediction
(2018)
Accurate photovoltaic (PV) production forecasting is necessary for the optimal integration of this technology into existing power systems and is important for both grid and plant operators. The purpose of this work is to ...
Stochastic control for nanoparticle manipulation using electric fields
(2018)
A simplified model is used to study the dynamics of a nanoparticle suspended in a fluid under Dielectrophoretic (DEP) force. The model considers the DEP force (considering only dipoles formed and not higher order polarisation) ...