Research output per year
Research output per year
Personal profile
Research areas
His research mainly focuses on the data analysis in industrial processing operations to reduce the energy consumptions in industry sectors with state-of-the-art machine learning/deep learning algorithms. The energy performance best practices are analyzed by the proposed clustering algorithms, prediction frameworks and evaluation architectures.
Research interests
Energy informatics, Industrial digitalization, Data science, Explainable AI
Research areas
- XProduktionssystemer i industri
- Industrial Digitalization
- Energy Performance Best Practice
- Industry 4.0
- Machine Learning
- Data Science
- Explainable AI
- Feature Enigineering
Fingerprint
Fingerprints are formed from scientific publications and create an index of weighted keyword concepts for each individual researcher.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Data-driven Two-phase Multi-split Causal Ensemble Model for Time Series
Ma, Z., Kemmerling, M., Buschmann, D., Enslin, C., Lütticke, D. & Schmitt, R. H., 26. Apr 2023, In: Symmetry. 15, 5, 982.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Downloads (Pure) -
A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications
Ma, Z., Jørgensen, B. N. & Ma, Z. G., 13. Jul 2023, (Accepted/In press) IECON 2023–49th Annual Conference of the IEEE Industrial Electronics Society. IEEEResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A scoping review of eco-driving research and applied state-of-the-art AI models
Ma, Z., Jørgensen, B. N. & Ma, Z. G., 15. Feb 2023, (Submitted) In: Renewable & Sustainable Energy Reviews.Research output: Contribution to journal › Journal article › Research › peer-review
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Decoding Digitalization Enabled Energy Efficiency and Flexibility in Industry: A Survey with Nine Case Studies
Ma, Z., Jørgensen, B. N., Levesque, M., Amazouz, M. & Ma, Z. G., 20. Aug 2023, (Accepted/In press) Lecture Notes in Computer Science. Springer, (Lecture Notes in Computer Science (LNCS)).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Eco-driving Intelligent Systems and Algorithms: A Patent Review
Ma, Z., Jørgensen, B. N. & Ma, Z. G., 6. Jul 2023, (Accepted/In press) The 8th International Conference on Power and Renewable Energy (ICPRE 2023). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Projects
- 2 Active
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Data-driven best-practice for energy-efficient operation of industrial processes
Ma, Z. G., Jørgensen, B. N. & Ma, Z. M.
01/09/2022 → 31/08/2025
Project: Research
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