Daniel Zurita Millan
Orcid: 0000-0001-6388-7559Affiliations:
- Polytechnic University of Catalonia, Barcelona, Spain
According to our database1,
Daniel Zurita Millan
authored at least 16 papers
between 2014 and 2019.
Collaborative distances:
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Bibliography
2019
Data Analytics for Performance Evaluation Under Uncertainties Applied to an Industrial Refrigeration Plant.
IEEE Access, 2019
Semisupervised refrigeration plant cooling disaggregation by means of deep neural network ensemble.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
2018
IEEE Trans. Ind. Informatics, 2018
Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery.
IEEE Access, 2018
Data-driven operation performance evaluation of multi-chiller system using self-organizing maps.
Proceedings of the IEEE International Conference on Industrial Technology, 2018
2017
IEEE Trans. Ind. Electron., 2017
2016
IEEE Trans. Instrum. Meas., 2016
Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis.
IEEE Access, 2016
Occupancy forecasting for the reduction of HVAC energy consumption in smart buildings.
Proceedings of the IECON 2016, 2016
Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016
2015
Proceedings of the IEEE International Conference on Industrial Technology, 2015
Enhanced load forecasting methodology by means of probabilistic prediction intervals estimation.
Proceedings of the IEEE International Conference on Industrial Technology, 2015
Remaining useful life estimation of ball bearings by means of monotonic score calibration.
Proceedings of the IEEE International Conference on Industrial Technology, 2015
2014
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014
Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions.
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, 2014