Below you will find a list of publications where I have contributed fully or to a certain extend:
- Bahilo Rodríguez, E. (2018). Power Plant Operation Optimisation : Unit commitment of gas turbines using Machine Learning and MILP programming (Dissertation). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27660
- Castro-Cros, Martí & Rosso, Stefano & Bahilo, Edgar & Velasco, Manel & Angulo, Cecilio. (2021). Condition Assessment of Industrial Gas Turbine Compressor Using a Drift Soft Sensor Based in Autoencoder. Sensors. 21. 2708. 10.3390/s21082708.
- Ghazvini, Mina & Sànchez-Marrè, Miquel & Bahilo, Edgar & Angulo, Cecilio. (2021). Operational Modes Detection in Industrial Gas Turbines Using an Ensemble of Clustering Methods. Sensors. 21. 8047. 10.3390/s21238047.
- A. Sancarlos et. al. (2023). Towards a data-driven debt collection strategy based on an advanced machine learning framework. arXiv:2311.06292v1 [q-fin.ST].
Also you can find here the academic work that I have supervised recently:
- Sharma, N. (2021). Meta-Modelling Based Design Optimization of Gas Turbine Blade Cooling Channels (Dissertation). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-185739
- Hassan, M. E. (2019). Power Plant Operation Optimization : Unit Commitment of Combined Cycle Power Plants Using Machine Learning and MILP (Dissertation). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395304.
- Rosso, S. (2019). Power Plant Operation Optimization Economic dispatch of combined cycle power plants (Dissertation). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264350
- Bhatt, D. (2019). Economic Dispatch of the Combined Cycle Power Plant Using Machine Learning (Dissertation). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266110
Not looking for these kind of publications? Maybe here you can find interesting stuff.