A5087004988- Electric Power System Optimization
- Power System Reliability and Maintenance
- Optimal Power Flow Distribution
- Integrated Energy Systems Optimization
- Wind Energy Research and Development
- Neuroethics, Human Enhancement, Biomedical Innovations
- Smart Grid Energy Management
- Electric Vehicles and Infrastructure
- Complex Network Analysis Techniques
- Psychology of Moral and Emotional Judgment
- Energy Load and Power Forecasting
- Hybrid Renewable Energy Systems
- Capital Investment and Risk Analysis
- COVID-19 Clinical Research Studies
- COVID-19 diagnosis using AI
- Neuroscience and Neuropharmacology Research
- Ethics and Social Impacts of AI
- Renewable energy and sustainable power systems
- Explainable Artificial Intelligence (XAI)
- Evolutionary Game Theory and Cooperation
- Treatment of Major Depression
- COVID-19 Digital Contact Tracing
- Social Acceptance of Renewable Energy
- Epistemology, Ethics, and Metaphysics
- Religious Studies and Spiritual Practices
Comillas Pontifical University
2015-2024
Heidelberg University
2021-2023
University Hospital Heidelberg
2021-2023
Central Institute of Mental Health
2021-2023
Comilla University
2015-2023
Universidad de Navarra
2020-2021
Navarre Institute of Health Research
2021
University of Graz
2020
Facultad Latinoamericana de Ciencias Sociales
2019
Background An association between the severity of coronavirus disease 2019 (COVID-19) and presence certain chronic conditions has been suggested. However, unlike influenza other viruses, burden COVID-19 in patients with asthma less evident. Objective To understand impact asthma. Methods Using big-data analytics artificial intelligence through SAVANA Manager clinical platform, we analysed data from January 1 to May 10, 2020. Results Out 71 182 asthma, 1006 (1.41%) suffered COVID-19. Compared...
Patients with Chronic Obstructive Pulmonary Disease (COPD) have a higher prevalence of coronary ischemia and other factors that put them at risk for COVID-19-related complications. We aimed to explore the impact COVID-19 in large population-based sample patients COPD Castilla-La Mancha, Spain. analyzed clinical data electronic health records from 1 January 10 May 2020 by using Natural Language Processing through SAVANA Manager® platform. Out 31,633 patients, 793 had diagnosis COVID-19. The...
Infection by SARS-CoV-2 causing coronavirus disease 2019 (COVID-19) can be associated with serious and life-threatening conditions, including acute respiratory distress syndrome (ARDS). Severity mortality have been related to a cytokine storm, an imbalance of oxidative stress, pro-thrombotic state. We conducted observational retrospective cohort study from community-based large population hospitalized COVID-19 PCR + patients admitted March 01, 2020, January 24, 2021, integrated primary...
Electrical layout design is a key element in offshore wind farm planning, with critical impact on both plant cost and reliability. Offshore Windfarm Layout optimizer (OWL) has been developed to efficiently find optimal electrical layouts affordable computation times. The tool includes the possibility of HVDC connection incorporates an approximation losses, as well stochasticity inputs component failures. OWL applied several case studies including Barrow Wind Farm. produces significant...
A more realistic management of electric vehicle (EV) charging points requires to cope with stochastic behavior on staying patterns. This paper presents a programming model achieve optimal taking into account price variation in day-ahead and intraday electricity markets, together regulating reserve margins. In this model, first-stage decisions determine energy purchases sales the upward downward margins committed. Second-stage correspond markets deal requirements several possible scenarios...
The Unit Commitment (UC) problem, which determines the day-ahead dispatch of generation units, is one critical problems in power systems operation. A long list formulations that claim to solve this problem more efficiently has been proposed. However, comparing them not easy due different interpretations constraints (e.g., ramps, reserves, startup/shutdown) and heuristic component solution process most solvers. This article proposes a general framework establish systematic procedure for...
Dravet syndrome is a genetic encephalopathy characterized by severe epilepsy combined with motor, cognitive, and behavioral abnormalities. Current antiepileptic drugs achieve only partial control of seizures provide little benefit on the patient's neurological development. In >80% cases, disease caused haploinsufficiency SCN1A gene, which encodes alpha subunit Nav1.1 voltage-gated sodium channel. Novel therapies aim to restore expression in order address all manifestations. We evidence that...
One of the main factors impacting reliability energy systems nowadays is growing interdependence between electricity and gas networks due to increase in installation gas-fired units. Security-constrained unit commitment (SCUC) models are used economically schedule generating units without compromising system reliability. This paper proposes a novel SCUC formulation that includes dynamic constraints, such as line pack, transmission contingencies power for studying integrated A Benders’...
The development of offshore transmission and wind power generation in the North Sea Europe is advancing fast, but there are significant barriers to an integrated grid region. This a multi-level, multi-actor system requiring governance decision-making approach, currently no proven framework for it, or expansion planning European general. In addition, existing models do not endogenously include considerations, such as country vetoes lines. We develop myopic Mixed-Integer Linear Programming...
The application of complex-network techniques to the analysis power grids can provide interesting complementary insights into studies such as generation synthetic grids. Synthetic are realistic, albeit nonreal, case that topologically consistent with respect real networks. As a preliminary step grids, we use analyze several European networks from topological point view. We observe topologies markedly heterogeneous. Then, present our main contribution: novel model generates spatial mimics...
The impact of relapses on disease burden in Crohn's (CD) warrants searching for predictive factors to anticipate relapses. This requires analysis large datasets, including elusive free-text annotations from electronic health records. study aims describe clinical characteristics and treatment with biologics CD patients generate a data-driven model relapse using natural language processing (NLP) machine learning (ML).We performed multicenter, retrospective previously validated corpus patient...
Transmission expansion planning is receiving an increased attention, primarily due to the large-scale grid upgrades that will be necessary accommodate renewable generation or increase cross-border capacity. The intermittency of renewables, and uncertainties inherent long-term planning, makes it advisable use solution methods cope with uncertainty explicitly. Stochastic Optimisation and, in particular, Benders' decomposition, one most widely applied approaches this context. However, can still...
The expansion of the transmission network will be a key enabler energy transition. However, high level technical detail involved in studies, where DCPF and consideration discrete investment are necessary, meant that it was accessible only to very specialized researchers. OpenTEPES changes picture by providing an open-access tool with full functionality. determines plans for new power facilities (generating units lines) necessary supply future demand at minimum cost. represents hierarchically...