Documentos de Trabajo: Envíos recientes
Mostrando ítems 1-20 de 1872
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Anomaly detection of a cooling water pump of a power plant based on its virtual digital twin constructed with deep learning techniques
This paper aims to explore the use of recent approaches of deep learning techniques for anomaly detection of potential failure modes in a cooling water pump working in a gas-combined cycle in a power plant. Two different ... -
A big-data approach to assess transport poverty: A case study of Madrid
Transport poverty, a multifaceted issue, has garnered increasing attention in recent years. This study employs anonymized mobile phone data and GIS techniques to analyze commuting patterns, economic burdens, and spatial ... -
Impact of current limiters and fast voltage boosters in grid-forming VSC-based generators on transient stability
Transient stability is a complex phenomenon presented in multi-machine and multi-converter systems, and it is still considered a key limiting factor for stressed power systems. The increasing integration of non-synchronous ... -
Escape room “Esperanza para el futuro": El juego de fuga como actividad de evaluación de los conocimientos aprendidos
La asignatura de Fisiología humana del 1º curso del Doble Grado de Ciencias de la Actividad Física y el Deporte (CAFYD) y Ed. Primaria (EP) tiene como uno de sus objetivos fundamentales conseguir que, al finalizar el curso, ... -
Investigating the impact of graphene-based nanomaterials on the polymerization, mechanical and biological performance of photocurable resin for stereolithography
Background and Purpose Graphene-Based Nanomaterials (GBN), which encompass Graphene (G) and Graphene Oxide (GO), have gained recognition for their transformative impact on enhancing the mechanical properties of polymers. ... -
On advancements and challenges in asset management for HVDC systems: a machine learning perspective
In the context of global climate goals and the transition to sustainable energy, modern energy transportation and distribution systems play a crucial role. Electricity transportation and distribution systems would not ... -
How a pandemic reshapes power patterns: a case study of electricity consumption in the Baltic countries during COVID-19
In addition to the enormous loss of life caused by COVID-19, the pandemic produced issues in various sectors such as industrial, economic, tourism, healthcare, etc. One of the sectors that is likely to have been affected ... -
Cultivating spirituality in organizations. The role of spiritual discernment
Organizational spirituality offers a nuanced approach to navigating the complexities of the evolving organizational landscape and a pathway to achieving positive outcomes. Central to this realm is spiritual practices, ... -
Demand response cost analysis and its effect on system planning
Demand response (DR) is becoming a necessity rather than a choice since its environmentally friendly nature makes it an ideal option for development and deployment in the electricity system, particularly in the high-renewable ... -
A comparative analysis of Cournot equilibrium and cost minimization models for electricity and hydrogen integration
The relationship between hydrogen and electricity has gained attention due to their interconnected roles in the energy transition. Existing joint electricity and hydrogen market models often overlook the dependence between ... -
Solar photovoltaic energy scenarios generation: a novel methodology for multi-area electricity markets
In this paper, a novel methodology is introduced for the generation of solar photovoltaic energy scenarios within multi-area electricity markets. Diverging from the existing short-term focus in the literature, the proposed ... -
De-rating factors in regional capacity mechanisms with cross-border participation: the role of asymmetric national non-served energy values
Capacity mechanisms (CMs) are regulatory frameworks often implemented to address market failures and ensure the long-term reliability of electricity supply. In the context of regional markets, these mechanisms can maximize ... -
Explaining the solutions of the unit commitment with interpretable machine learning
The energy transition needs mathematical models to address the complexity of shifting towards sustainable energy sources. In addition to providing accurate solutions, these models must be explainable and available for ... -
Submetering: challenges and opportunities for its application to the flexibility services
Purpose of the review: Implementing flexibility services from small resources in the power system requires addressing new technical challenges related to monitoring, baselining, validating their activation, and quantifying ... -
MaDIoT 3.0: assessment of attacks on distributed energy resources and demand in a power system
The increasing penetration of Distributed Energy Resources (DER) expands the cyberattack surface of power systems. This paper analyses the impact and success of MaDIoT 3.0 attacks, which combine attacks to high-wattage IoT ... -
Submetering: challenges and opportunities for its application to the flexibility services
Purpose of the review: Implementing flexibility services from small resources in the power system requires addressing new technical challenges related to monitoring, baselining, validating their activation, and quantifying ...