Regression analysis constitutes an important tool for investigating the effect of explanatory
variables on response variables. When outliers and bias errors are present, the weighted …

High-fidelity simulation of thermal systems remains challenging due to online measurement
errors and inherent mismatches of thermal system models. Previous model-based …

Double reheat is a cutting-edge technology of thermal power generation at the current
material level. There is a lack of research on the performance analysis and monitoring of in …

This paper addresses the phase-balancing problem in three-phase power grids with the
radial configuration from the perspective of master–slave optimization. The master stage …

Distillation is an energy-intensive operation with high capital and operational costs. For this
reason, intensification technologies have been developed to significantly reduce the energy …

Background Measurement information in chemical processes is inevitably corrupted.
Dynamic data reconciliation is an effective method to improve the quality of noisy …

Maintaining the online calculation accuracy of isentropic efficiency of a steam turbine stage
is challenging due to widely existing gross errors in steam turbine measurements. They …

Data from sensors in the semiconductor industry are often contaminated by random or gross
errors. To improve the precision and reliability of process data, data reconciliation and gross …

This contribution represents a practical application of predictive thermal modelling of an
existing cogeneration plant. The analysed cogeneration plant consists of a gas turbine …

It is an operational practice that refineries (here producers) work in an optimised way and
produce diesel and gasoline with a mass fraction of sulfur close to the specification …