Campaña de la Memoria Académica Anual del IITCurso 2023 - 2024 - Versión en Inglés
A continuación se muestra la información disponible de Dr.D.Antonio Muñoz San Roque en el peridodo de tiempo desde el 1 de septiembre de 2023 hasta el 31 de agosto de 2024. Esta información se va a emplear para elaborar la Memoria Académica Anual del IIT, la Memoria de Investigación de Comillas y tu Curriculum Vitae, por lo que es muy importante que sea correcta y esté completa. Todos los campos que se muestran en cada referencia deben tener información, a menos que se indique lo contrario (p.ej. "No aplica"). Por favor, complétala. Comprueba también que la información se muestra en el apartado correcto. Si detectas cualquier error o falta de información, por favor, envía un email pinchando aquí indicando el apartado y la información errónea o faltante. Para enviar comentarios/sugerencias/errores... sobre esta página web, por favor haz clic aquí. Para ver la Versión en Español, haz clic aquí. Para ver la Versión Completa de la memoria, haz clic aquí.
[Expandir todo | Contraer todo] Chapter 1. Organizational structure [ |  ]- 1.1 Management
- 1.2 Council
- 1.3 Area coordinators
- 1.4 Scientific advisory board
- 1.5 Academic staff
| * | Name: | Antonio Muñoz San Roque | | | Category: | Professor | | | Degree: | Ph.D. in Industrial Engineering (Comillas)
Electrical Engineer (Comillas) | | | Areas of Interest: | Time series forecasting. Machine learning. Application of Artificial Intelligence techniques to the operation and maintenance of industrial processes. Electricity markets analysis and optimal operation. | | | ICAI Department: | DEAC | | | | |
- 1.6 Associated academic staff
- 1.7 Pre- and postdoctoral fellows
- 1.8 Areas of Research
- 1.8.1 MAC Coordinator
- 1.8.2 REDES Coordinator
- 1.8.3 RYE Coordinator
- 1.8.4 SADSE Coordinator
- 1.8.5 PCI Coordinator
- 1.8.6 ASF Coordinator
- 1.8.7 ASI Coordinator
- 1.8.8 BIO Coordinator
- 1.8.9 SMS Coordinator
- 1.9 Services staff
- 1.9.1 Systems Administrator Staff
- 1.9.2 Administrative Staff
Chapter 2. Research [ | ]- 2.1 Research Projects
- 2.1.1 Research and develop projects
- 2.1.1.1 Private funding
| * | Abbreviated name: | CE_AIAM | | | Project title: | ENDESA Chair for applications of artificial intelligence to data-driven maintenance | | | Funding entity: | Endesa Generación, S.A | | | Start date: | January 2023 | | | End date: | December 2026 | | | Researcher(s): | Miguel Ángel Sanz Bobi, Antonio Muñoz San Roque, Francisco Javier Bellido López, Eugenio Francisco Sánchez Úbeda, Álvaro Jesús López López | | | Description: | The main goal of the Chair is to help ENDESA, in particular, and the energy sector in general, to take advantage of the opportunities offered by Artificial Intelligence by generating knowledge and disseminating it to society. Its main objectives are to investigate and share AI applications in the Maintenance and Management of generation assets to facilitate the energy transition towards a long-term sustainable model following the Sustainable Development Goals. | | | | | | * | Abbreviated name: | ENDESA_PROTECCIONES_2023 | | | Project title: | Design and implementation of an algorithm for power line protection under high penetration of renewables | | | Funding entity: | Gas y Electricidad Generación S.A. | | | Start date: | April 2023 | | | End date: | December 2023 | | | Researcher(s): | Antonio Muñoz San Roque, Luis Rouco Rodríguez, Lukas Sigrist, José Portela González | | | Description: | The objective of this project is the design and implementation of an algorithm for the protection of power lines in conditions of high penetration of RES.
The proposed algorithm is based on the application of Machine Learning techniques for the detection and classification of faults based on a set of fault scenarios obtained both from real records and through simulation. | | | | | | * | Abbreviated name: | Proyecto_ACM_2023_05 | | | Project title: | Analysis and prediction of offshore wind farm generation using machine learning techniques | | | Funding entity: | Comillas | | | Start date: | June 2023 | | | End date: | May 2024 | | | Researcher(s): | Antonio Muñoz San Roque, José Portela González, Eugenio Francisco Sánchez Úbeda, Eloy Jesús del Gran Poder Insunza Díaz | | | Description: | The objective of this research is twofold. On the one hand, meteorological data as well as wind turbine data will be analyzed. On the other hand, power generation prediction models will be created using different AI algorithms. For the study, wind data from the Alpha Ventus wind farm off the coast of Hamburg will be used. Finally, the prediction results using different algorithms will be compared. | | | | | | * | Abbreviated name: | HADES_2023 | | | Project title: | Development of a functional time series model for forecasting residual demand curves in the Spanish day-ahead market | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | September 2023 | | | End date: | December 2023 | | | Researcher(s): | José Portela González, Antonio Muñoz San Roque, Alejandro Polo Molina | | | Description: | The aim of the proposed collaboration is the development and implementation of a deterministic prediction model for residual demand curves in the day-ahead market. The model is a functional time series prediction model specifically designed for curve predictions in the market, taking into account the impact of the most relevant explanatory variables, as well as the temporal dynamics of the offers. | | | | | | * | Abbreviated name: | HADES_2024_S1 | | | Project title: | Forecasting and characterization of offer strategies in the Spanish real-time constraint market | | | Funding entity: | Endesa SA: Energy & Commodity Management Iberia | | | Start date: | March 2024 | | | End date: | July 2024 | | | Researcher(s): | José Portela González, Antonio Muñoz San Roque, Eloy Jesús del Gran Poder Insunza Díaz | | | Description: | This project aims to identify an optimal strategy for modeling and predicting the allocation of groups in the Spanish real-time constraint market and its Portuguese equivalent. To achieve this, residual demand curves will be established to characterize the offer strategy of agents in these markets, characterized by being a "Pay as Bid" system. | | | | |
- 2.1.1.2 Public funding
| * | Abbreviated name: | RETOSCOL-RC4ALL-2020 | | | Project title: | RC4ALL: Responsible consumption for all | | | Funding entity: | Ministerio de Ciencia e Innovación (MCI), Agencia Estatal de Investigación (AEI) | | | Start date: | May 2020 | | | End date: | December 2023 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Antonio Muñoz San Roque, José Portela González, Ignacio Navas Pascual, Francisco Rodríguez Cuenca | | | Description: | The main objective of the RC4ALL project (Responsible Consumption for All) is to develop a system that, based on the specific information on consumption per device of a relatively small number of representative customers and complementing it with information from external sources, is capable of generating personalized recommendations that improve the efficiency of consumption for the entire customer base of the company. Machine Learning and Big Data techniques will be used.
Project Retos- Colaboración RTC2019-007380-3 funded by Ministerio de Ciencia e Innovación (MCI) and Agencia Estatal de Investigación (AEI) 
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| | | | | | * | Abbreviated name: | RETOSINV-chronic-IoT-2020 | | | Project title: | Development of movement behavior models of complex chronic patients | | | Funding entity: | Ministerio de Ciencia e Innovación (MCIN), Agencia Estatal de Investigación (AEI) | | | Start date: | June 2020 | | | End date: | November 2023 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Rafael Palacios Hielscher, Antonio Muñoz San Roque, José Portela González, Carlos Rodríguez-Morcillo García, Alejandro Polo Molina | | | Description: | The aim of this project, coordinated with Virgen del Rocío University Hospital (HUVR), is to investigate how the deterioration of mobility may reflect changes in the patient's clinical condition, and its degeneration in the domain of integrated care of complex chronic patient.
To fulfill this objective, an IoT infrastructure and information system is developed. Based on the collected data on patients mobility, machine learning techniques are applied to create patterns capable of modeling and characterizing movement in the patients in order to explain aspects of the clinical evolution of patients.
Project PID2019-110747RB-C22/ funded by MCIN/AEI/10.13039/501100011033
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- 2.1.2 Consultancy and technological support
- 2.1.2.1 Private funding
- 2.1.2.2 Public funding
- 2.1.3 Services and analysis projects
- 2.1.3.1 Private funding
- 2.1.3.2 Public funding
- 2.2 Publications
- 2.2.1 Books
- 2.2.2 Chapters in books
| * | Author(s): | A. Muñoz, J. Portela, E.F. Sánchez-Úbeda, G. Mestre | | | Chapter title: | Análisis y predicción de curvas agregadas de oferta y demanda en el mercado eléctrico europeo | | | Book title: | Predicción y decisiones económicas con Big Data | | | Editors: | Peña Sánchez de Rivera, Daniel; et al., | | | Publisher: | Fundación de las Cajas de Ahorros (FUNCAS) | | | Pages: | 185-224 | | | ISBN: | 978-84-17609-79-5 | | | Publication date: | June 2024 | | | | |
- 2.2.3 Papers in Journals
| * | Author(s): | C. Álvarez-Romero, A. Polo-Molina, E.F. Sánchez-Úbeda, C. Jiménez-de-Juan, M.P. Cuadri-Benitez, J.A. Rivas-González, J. Portela, R. Palacios, C. Rodríguez-Morcillo, A. Muñoz, C.L. Parra-Calderón, M.D. Nieto-Martin, M. Ollero-Baturone, C. Hernández-Quiles | | | Title: | Machine learning–based prediction of changes in the clinical condition of patients with complex chronic diseases: 2-phase pilot prospective single-center observational study | | | Journal: | JMIR Formative Research | | | Vol & Num: | vol. 8, nº. 1 | | | Pages: | e52344-1-e52344-13 | | | ISSN: | 2561-326X | | | Publication date: | April 2024/December 2024 | | | | | | * | Author(s): | P. Moreno Alonso, I. Figuerola-Ferretti Garrigues, A. Muñoz | | | Title: | Forecasting oil prices with non-linear dynamic regression modeling | | | Journal: | Energies | | | Vol & Num: | vol. 17, nº. 9 | | | Pages: | 2182-1-2182-29 | | | ISSN: | 1996-1073 | | | Publication date: | May 2024/May 2024 | | | | | | * | Author(s): | M.C. Rubiales Mena, A. Muñoz, M.A. Sanz-Bobi, D. González-Calvo, T. Álvarez Tejedor | | | Title: | Application of ensemble machine learning techniques to the diagnosis of the combustion in a gas turbine | | | Journal: | Applied Thermal Engineering | | | Vol & Num: | vol. 249 | | | Pages: | 123447-1-123447-16 | | | ISSN: | 1359-4311 | | | Publication date: | May 2024/July 2024 | | | | |
- 2.2.4 Papers in Congress
| * | Author(s): | M.A. Sanz-Bobi, S. Orbach, F.J. Bellido-López, A. Muñoz, D. González-Calvo, T. Álvarez Tejedor | | | Title: | Anomaly detection of a cooling water pump of a power plant based on its virtual digital twin constructed with deep learning techniques | | | Type: | Communication | | | Congress: | 8th European Conference of the Prognostics and Health Management Society - PHME24 | | | City: | Prague | | | Country: | Czech Republic | | | Date: | 03-05 July 2024 | | | ISBN: | 978-1-936263-40-0 | | | | | | * | Author(s): | G. Mestre, J. Portela, A. Muñoz, E. Alonso | | | Title: | Probabilistic functional forecasting of Residual Demand Curves in electricity markets | | | Type: | Communication | | | Congress: | 26th International Conference on Computational Statistics - COMPSTAT 2024 | | | City: | Giessen | | | Country: | Germany | | | Date: | 27-30 August 2024 | | | ISBN: | | | | | |
- 2.2.5 IIT Technical Documents
- 2.2.6 Other Publications
- 2.3 Software Products
Chapter 3. Teaching [ | ]- 3.1 Supervised Bachelor Theses at IIT
- 3.1.1 Bachelor's Degree in Engineering for Industrial Technologies
- 3.1.2 Bachelor's Degree in Engineering in Telecommunications Technologies
- 3.2 Postgraduate Teaching
- 3.2.1 Master Courses
- 3.2.1.1 Official Master's Degree in Industrial Engineering (MII)
- 3.2.1.2 Official Master's Degree in Telecommunications Engineering (MIT)
- 3.2.1.3 Official Master's Degree in the Electric Power Industry (MEPI)
- 3.2.1.4 Master in Railway Systems (MSF)
- 3.2.1.5 Master in Project, Construction and Maintenance of High Voltage Electrical Transmission (On-line)
- 3.2.1.6 Master in Fire Protection Engineering (MIPCI)
- 3.2.1.7 MBA in the Global Energy Industry
- 3.2.1.8 Master's Degree in Smart Industry (MIC)
- 3.2.1.9 Master’s Degree in International Industrial Project Management
- 3.2.1.10 Master in Electricity Generation. Promotion, Technology and Operation (MGE) (On-line)
- 3.2.1.11 Master's Degree in Big Data Technologies and Advanced Analytics (MBD)
- 3.2.1.12 Master's Degree in Management Solutions (MCN)
- 3.2.1.13 Master's Degree in Smart Grids (MSG)
- 3.2.1.14 Master in Biomechanics Applied to Damage Assessment; Advanced Physical Therapy Techniques
- 3.2.1.15 Master in Mobility and Safety Engineering (MMS)
- 3.2.1.16 Master in Electrical Technology (MTE)
- 3.2.1.16 Master in smart agricultural industry and sustainability
- 3.2.1.17 Official Master's Degree in Biomechanics and Sports Physiotherapy
- 3.2.2 Master Theses supervised at IIT
- 3.2.2.1 Official Master's Degree in Industrial Engineering (MII)
- 3.2.2.2 Official Master's Degree in Telecommunications Engineering (MIT)
- 3.2.2.3 Official Master's Degree in the Electric Power Industry (MEPI)
- 3.2.2.4 Erasmus Mundus International Master in Economics and Management of Network Industries (EMIN)
- 3.2.2.5 Master in Railway Systems (MSF)
- 3.2.2.6 MBA in the Global Energy Industry
- 3.2.2.7 Master in Fire Protection Engineering (MIPCI)
- 3.2.2.8 Master's Degree in Smart Industry (MIC)
- 3.2.2.9 Master’s Degree in International Industrial Project Management
- 3.2.2.10 Master's Degree in Big Data Technologies and Advanced Analytics (MBD)
- 3.2.2.11 Master in Electricity Generation. Promotion, Technology and Operation (MGE) (On-line)
- 3.2.2.12 Master's Degree in Management Solutions (MCN)
- 3.2.2.13 Master in Project, Construction and Maintenance of High Voltage Electrical Transmission (On-line)
- 3.2.2.15 Official Master's Degree in Engineering Research (MIMSI)
- 3.2.2.16 Master's Degree in Smart Grids (MSG)
- 3.2.2.17 Master in Biomechanics Applied to Damage Assessment; Advanced Physical Therapy Techniques
- 3.2.2.18 Master in Mobility and Safety Engineering (MMS)
- 3.2.2.19 Master in Electrical Technology (MTE)
- 3.2.2.20 Official Master's Degree in Biomechanics and Sports Physiotherapy
- 3.2.2.21 Master in Environment and Energy Transition
- 3.3 Other Academic Activities
- 3.3.1 External Master Courses
- 3.3.2 Supervised Master Theses in other Universities
- 3.3.3 Developed Master Theses in other Universities
Chapter 4. Doctorate [ | ]- 4.1 ICAI Engineers' Association PhD Scholarship
- 4.2 Training complements
- 4.3 Training activities
- 4.4 Doctoral Theses
- 4.4.1 Comillas Submitted Theses
| * | Title: | Multi-region probabilistic electric load forecasting using coherent temperature scenarios | | | Author: | Santiago Moreno Carbonell | | | Supervisor(s): | Eugenio Francisco Sánchez Úbeda and Antonio Muñoz San Roque | | | Dissertation date: | Octubre 27 , 2023 | | | | | | * | Title: | Explainable Artificial Intelligence (XAI) techniques based on partial derivatives with applications to neural networks | | | Author: | Jaime Pizarroso Gonzalo | | | Supervisor(s): | Antonio Muñoz San Roque and José Portela González | | | Dissertation date: | Diciembre 15 , 2023 | | | | |
- 4.4.2 Submitted Theses in other Universities
- 4.4.3 Comillas Ongoing Theses
Chapter 5. Other Activities [ | ]- 5.1 EES-UETP
- 5.2 International Exchanges
- 5.3 Visiting professors
- 5.4 Visiting students
- 5.5 Courses offered and coordinated to external companies and institutions
- 5.6 Conferences, Seminars, Roundtables and Workshops Contributions
- 5.7 Congress, Seminars and Journals Organization
- 5.8 Other Academic Activities Organization
| * | Author(s): | Antonio Muñoz San Roque | | | Activity description: | Chairman in Presentation of the Kapsch Chair for Sustainable and Intelligent Mobility in «Jornada «Los retos de la investigación para una movilidad sostenible»» | | | Organizer: | Universidad Pontificia Comillas | | | Funding entity: | | | | City: | Madrid | | | Country: | Spain | | | Date: | March 2024 | | | | |
- 5.9 Other Activities
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