Finally, the effectiveness of various visualizations is evaluated using formal human factor experiments. The results of these experiments show the advantages of the visualizations utilized in the dissertation, provide ...

The Smart Grid represents a transition of the power and energy industry into a new era of improved efficiency, reliability, availability, and security, while contributing to economic and environmental health. However, ...

Agriculture has been one of the most underinvestigated areas in technology, and the development of Precision Agriculture is still in its early stages. This thesis proposes a data-driven methodology that aims to address ...

In this dissertation, we develop several data-driven frameworks for coordinating distributed energy resources (DERs) in power distribution systems to provide ancillary services including active power provision and reactive ...

In the classical problem of quickest change detection, a decision maker observes a sequence of random variables. At some point of time, the distribution of the random variables changes abruptly. The objective is to detect ...

Visual recognition is a fundamental research topic in computer vision. This dissertation explores datasets, features, learning, and models used for visual recognition. In order to train visual models and evaluate ...

In recent times, there has been an increasing number of applications of autonomous systems such as unmanned aerial vehicles (UAVs) and self-driving cars in urban environments for tasks such as transport, delivery, photography, ...

The introduction of the highly variable and uncertain renewable resources into the power grid is calling for more control and regulation of the power system dynamics. In particular, the automatic generation control, which ...

The smart grid vision has led to the development of advanced control and management frameworks using distributed generation (DG) and storage resources, commonly referred to together as distributed energy resources (DERs). ...

There are generally two types of models to simulate space science parameters: physics-based models and statistics-based models. The first type of model makes predictions based on physical assumptions and mathematical ...