Artificial intelligence in process control applications and energy saving: a review and outlook

Author:

Kramer Alexander1ORCID,Morgado‐Dias Fernando1ORCID

Affiliation:

1. ITI/LARSyS/M‐ITI and University of Madeira Funchal Portugal

Funder

Project MITIExcell co-financed by Regional Development European Funds

Publisher

Wiley

Subject

Environmental Chemistry,Environmental Engineering

Reference66 articles.

1. Long-term energy efficiency analysis requires solid energy statistics: The case of the German basic chemical industry

2. KaiserJ Energieverbrauch in der Industrie im Jahr 2016 um 1 4% gestiegen (2016).

3. WackerAG BandWackerAG. Nachhaltigkeitsbericht 2015/2016 (2016).

4. Verband der chemischen Industrie e.V. VCI pharmazeutischen Industrie Die Industrie: Wichtige Stütze der deutschen Wirtschaft Die deutsche Wirtschaftsstruktur (2017).

5. Facts & Figures of the European chemical industry;European Chemical Industry Council, Cefic aisbl, Cefic;European Chemical Industry Council ‐ Cefic aisbl,2018

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1. State‐of‐the‐Art Review on the Applications of Nonlinear and Artificial Intelligence‐Based Controllers in Petrochemical Processes;ChemBioEng Reviews;2023-08-04

2. Machine-Learning-Based Soft Sensors for Energy Efficient Operation of Crude Distillation Units;2022 International Conference on Electrical, Computer and Energy Technologies (ICECET);2022-07-20

3. Machine Learning in Chemical Product Engineering: The State of the Art and a Guide for Newcomers;Processes;2021-08-20

4. AI and BD in Process Industry: A Literature Review with an Operational Perspective;Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems;2021

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