Constructing the power curve of a power generation facility integrated with complex and
large-scale industrial processes is a difficult task but can be accomplished using Industry 4.0 …

Energy efficiency in the petrochemical industry is crucial in reducing energy consumption
and environmental impact. An accurate energy efficiency model will provide valuable insight …

Complex engineering systems, such as power plants, deliver their best performance when
operating along a designed range of some priority parameters. However, plant field …

This work discusses the supercritical technology that has been instrumental in reducing
pollution levels and quick load response from the thermal plant. Various operating …

With growing concerns about global warming and environmental degradation, the
petrochemical industry has been urged to reduce energy consumption and emissions …

The energy-intensive steel industry, which consumes substantial amounts of electricity,
meets its power demands through external electricity purchases and self-generation through …

The capability analysis of a process against requirements is often an instrument of change.
The traditional and fuzzy process capability approaches are the most useful statistical …

The capability analysis of a process against requirements is often an instrument of change.
The traditional and fuzzy process capability approaches are the most useful statistical …

Abstract The Reinforcement Learning Approach (RL) is used to solve the pathplanning
problem of an autonomous mobile robot in unknown environments. Despite that RL is a …

The Reinforcement Learning Approach (RL) is used to solve the path-planning problem of
an autonomous mobile robot in unknown environments. Despite that RL is a recent and …