Dynamic models for power plants that capture realistic general process trends and effects of
manipulated variables are needed to improve load-following, while minimizing carbon …

This study is devoted to improving the energy efficiency of urban infrastructure systems
(UISs), in particular, the centralized water supply of a city multifloor manufacturing cluster …

The study examines various approaches oriented towards conceptual and numerical
reduction of first-principle models, data-driven methodologies for surrogate (black box) and …

Unexpected accidents and events in industrial chemical processes have resulted in a
considerable number of causalities and property damage. Safety process management in …

Purpose: The project aims to leverage Business Intelligence integrated with dynamic
simulations in the context of Industry 4.0, focusing on the implementation of a system for the …

Selorme K. Agbleze Utilizing process measurements for fault detection is an established
approach for processes with adequate datasets. For systems with limited high-confidence …

The industrial automation sector is rapidly evolving, with a growing need for advanced
control strategies to enhance the efficiency and precision of robotic systems. Model …

Recent technology improvements like Machine Learning, the Internet of Things, and AI
enhance the working environment in the various power industries all around the world. This …

This study recognizes the presence of a competence-based foundation in the career
orientations of both graduate students and professionals. The career orientations of …

This paper proposes a multi-level control strategy for hybrid microgrid management,
integrating renewable energy sources such as solar and wind with conventional systems …