IIT Annual Academic Report CampaignCourse 2023 - 2024 - English Version
The information available of Dr.D.Eugenio Francisco Sánchez Úbeda since September 01, 2023 to August 31, 2024 is showed below. This information will be used to develop the IIT Annual Academic Report and the Comillas Annual Report, so it is very important that it is correct and complete. All fields displayed in each reference must have information, unless otherwise stated (eg "Not Applicable"). Please, complete it. Also make sure the information is displayed in the correct section. If you find any errors or missing information, please send an email by clicking here indicating the section and incorrect or missing information. To send comments/suggestions/bugs... on the website, please click here. To view the Spanish Version, click here. To view the Full Version of the report, click here.
[Expand all | Collapse all] Chapter 1. Organizational structure [ |  ]- 1.1 Management
- 1.2 Council
- 1.3 Area coordinators
- 1.4 Scientific advisory board
- 1.5 Academic staff
| * | Name: | Eugenio Francisco Sánchez Úbeda | | | Category: | Senior Associate Professor
| | | Degree: | Ph.D. in Industrial Engineering (Comillas)
Electronics Engineer (Comillas) | | | Areas of Interest: | Machine learning – Forecasting – Data analysis and visualization - Non-linear statistical modeling - Deep learning | | | ICAI Department: | DOI | | | | |
- 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: | MODEM_ENDESA_2023_T3-T4-T5 | | | Project title: | Improvements in the medium-term probabilistic modeling of the demand for natural gas and electricity in Spain, Portugal and France | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | June 2023 | | | End date: | September 2023 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Anne Maren Coll Franck | | | Description: | The main objective of the project is to carry out the necessary developments to improve the forecasts generated with MoDEM in the medium term, by including aspects such as self-consumption, cogeneration or gas prices. | | | | | | * | Abbreviated name: | Proyecto_ACM_2023_05 | | | Project title: | Analysis and prediction of offshore wind farm generation using machine learning techniques | | | Funding entity: | Universidad Pontificia 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: | METEO-ENDESA-2023 | | | Project title: | Analysis and joint modeling of the fundamental meteorological variables for the energy sector | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | September 2023 | | | End date: | December 2023 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Anne Maren Coll Franck | | | Description: | The fundamental objective of the project is to carry out an analysis of the meteorological variables that affect the demand for electricity and the production with renewable energies for Spain, Portugal and France. | | | | | | * | Abbreviated name: | MODEM_ENDESA_2024_SSPP_T1 | | | Project title: | Modeling the response of energy demand to the price of gas | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | April 2024 | | | End date: | May 2024 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Anne Maren Coll Franck | | | Description: | The project's objective is to analyze and model the impact of the price of natural gas on the demand for electricity and gas in Spain. | | | | | | * | Abbreviated name: | METEO-ENDESA-2024 | | | Project title: | Identification of the models to be used in the global weather scenario generator | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | April 2024 | | | End date: | December 2024 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Anne Maren Coll Franck | | | Description: | The fundamental objective of the project is to design a set of models that allow the generation of realistic and coupled medium-term scenarios for the main meteorological variables, directly influencing system demand for electricity and renewable production for Spain, Portugal, and France. | | | | | | * | Abbreviated name: | MODEM_ENDESA_2024_SSPP_T2 | | | Project title: | Modeling the evolution of electricity demand profiles in Spain | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | July 2024 | | | End date: | October 2024 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, Anne Maren Coll Franck | | | Description: | The aim of the project is to analyse and model the evolution of hourly profiles of electricity demand in mainland Spain. | | | | |
- 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
| * | Abbreviated name: | MODEM-KT-2023 | | | Project title: | Migration of the demand scenario generator MODEM to the cloud environment | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | September 2023 | | | End date: | December 2023 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda | | | Description: | The main objective of this project is the migration of the demand scenario generator MODEM to the cloud environment. MDDEM consists of a set of models based on machine learning techniques, in charge of generating coherent probabilistic predictions for the medium term of the demand. | | | | |
- 2.1.2.2 Public funding
- 2.1.3 Services and analysis projects
- 2.1.3.1 Private funding
| * | Abbreviated name: | MTO-DECA-MODEM-HADES-EXLA-EXCOM-2023 | | | Project title: | Technical support for the tools DECA, HADES and MODEM | | | Funding entity: | Endesa Medios y Sistemas S.L | | | Start date: | January 2023 | | | End date: | December 2023 | | | Researcher(s): | Eugenio Francisco Sánchez Úbeda, José Portela González, Javier García González | | | Description: | The objective of this project is to provide ENDESA with technical support and maintenance of the tools DECA, MODEM, HADES, EXLA and EXCOM developed by IIT. | | | | |
- 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 | | | | | | * | Author(s): | E.F. Sánchez-Úbeda | | | Chapter title: | Papel cero en las asignaturas de estadística: Python como lenguaje vehicular | | | Book title: | Buenas prácticas en docencia | | | Editors: | | | | Publisher: | Universidad Pontificia Comillas | | | Pages: | 205-212 | | | ISBN: | 978-84-8468-762-7 | | | Publication date: | February 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): | S. Moreno, E.F. Sánchez-Úbeda | | | Title: | A piecewise linear regression model ensemble for large-scale curve fitting | | | Journal: | Algorithms | | | Vol & Num: | vol. 17, nº. 4 | | | Pages: | 147-1-147-27 | | | ISSN: | 1999-4893 | | | Publication date: | March 2024/April 2024 | | | | |
- 2.2.4 Papers in Congress
- 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)
| * | Subject title: | Machine Learning II | | | Lecturer(s): | Eugenio Francisco Sánchez Úbeda, Miguel Ángel Sanz Bobi | | | | |
- 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)
| * | Subject title: | Machine Learning II | | | Lecturer(s): | Eugenio Francisco Sánchez Úbeda, Miguel Ángel Sanz Bobi | | | | |
- 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 | | | | |
- 4.4.2 Submitted Theses in other Universities
- 4.4.3 Comillas Ongoing Theses
| * | Title: | Maximizing Performance in the Continuous Intraday Market: A Reinforcement Learning Approach to Strategy Optimization | | | Author: | Francisco Rodríguez Cuenca | | | Supervisor(s): | Eugenio Francisco Sánchez Úbeda | | | | | | * | Title: | WEATHER TO POWER: MULTIVARIATE MEDIUM-TERM PROBABILISTIC FORECASTING | | | Author: | Anne Maren Coll Franck | | | Supervisor(s): | Eugenio Francisco Sánchez Úbeda | | | | |
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
- 5.9 Other Activities
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