Machine Learning-Assisted Analysis of Energy Consumption Profiles and Efficiency in Uilenstede Campus Buildings: An Analysis of User Energy Profile Patterns and Clustering of Uilenstede Campus Energy Consumption Data

The study of energy consumption across various building clusters offers a path to discerning intricate patterns and establishing energy efficiency metrics. However, these analyses have mostly been limited to small, controlled settings, leaving a vast potential for broader application in energy efficiency management and classification untapped....

Automated Multi-core Scheduling for an Industrial-sized Mechatronic Motion Control Platform

Mechatronic embedded control systems are becoming increasingly sophisticated and computationally demanding. These systems typically consists of multiple controllers, which coordinate the actuators and apply feedback based on data collected by sensors. Often the underlying control strategy is entirely described in a software application, which...

Behavior-Based Scenario Discovery: Induction of decision-relevant input subspaces from nonlinear model outputs using time series clustering

Many societal, environmental and technological challenges can be characterized as wicked problems by virtue of being difficult to understand, define and solve. examples include sustainable management and consumption of resources, resilient technical infrastructure or curbing plastic pollution of the oceans. One method of tackling such wicked...

Develop of the Dynamic Model of GB for Transient Stability in RSCAD

Increasing wind generation causes displacement of conventional power plants with Synchronous Generators in electrical power systems. This condition leads to less inertia, less controllability and a degraded damping performance in the electrical systems. Studies of stability of the power system attempt to analyze this issues. Rotor angle...