Spatially distributed production data for supply chain models-Forecasting with hazardous waste

M Pavlas, R Šomplák, V Smejkalová, V Nevrlý… - Journal of Cleaner …, 2017 - Elsevier
This paper introduces a novel approach to forecasting future commodity production in
hundreds of nodes, which represents a key input for many applications of supply-chain …

Soft-Sensor Development through Deep Learning with Spatial and Temporal Feature Extraction of Complex Processes

C Xie, R Yao, L Zhu, H Gong, H Li… - Industrial & Engineering …, 2022 - ACS Publications
Data-driven soft sensing techniques have been widely applied to predict the quality
variables in the process industry. The temporal and spatial structure information is important …

Towards efficient waste management: identification of waste flow chains in micro-regional detail through monitored data

L Němcová, J Pluskal, R Šomplák, J Kůdela - Optimization and …, 2024 - Springer
Countries around the world are gradually implementing the transition to a circular economy
in waste management. This effort should be initiated already at the waste producers. It is …

Data reconciliation for Total Site integration

JY Yong, A Nemet, PS Varbanov, Z Kravanja… - Chemical Engineering …, 2016 - cetjournal.it
Data reconciliation is one of the important steps in Heat Exchanger Network (HEN) retrofit.
Correctly performed data reconciliation can help in Heat Integration (HI) analysis. In this …

A Review on Data Reconciliation and Gross Error Detection for Process Plant Energy Management

ASA Wahab, PY Liew, NA Manaf - IOP Conference Series …, 2021 - iopscience.iop.org
Process plant is essential for energy management, especially for analysis that requires
steady state data, such as Pinch Analysis. The data from the distributed control system …

A comparison of data reconciliation tools for modelling heat recovery

PS Varbanov, JY Yong, JJ Klemeš… - Computer Aided Chemical …, 2019 - Elsevier
Data Reconciliation is an important step in extracting data from an existing plant. It is
especially important for Heat Integration Analysis. In this work, the Iterative PNS Method is …

[PDF][PDF] НЕПАРАМЕТРИЧЕСКИЕ МЕТОДЫ РЕШЕНИЯ ЗАДАЧИ СОГЛАСОВАНИЯ ДАННЫХ

ВА Гаранин, КК Семенов - pdmi.ras.ru
Согласование результатов совместных измерений зависимых измеряемых величин–
широко применяемая процедура в области обработки данных, выполняемая в …