Documentos de Trabajo: Envíos recientes
Mostrando ítems 101-120 de 2024
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Risk adverse optimization on transmission expansion planning considering climate change and extreme weather events - the Texas case
The global push for environmental sustainability is driving substantial changes in power systems, prompting extensive grid upgrades. Policies and initiatives worldwide aim to reduce CO 2 emissions, with a focus on increasing ... -
Analysis of the Portuguese and Spanish NECPs using the CEVESA MIBEL market model
The member states of the European Union (EU) are actively reassessing their National Energy and Climate Plans (NECPs) [1] to jointly address climate challenges and the impacts of the COVID pandemic and gas supply crisis. ... -
Measuring and mitigating biases in location-based recommender systems
This article is a summary of the work published in the journal Data Mining and Knowledge Discovery[1]. It presents an analysis of different types of biases and polarization measurements that affect the area of Point-Of-Interest ... -
Advanced hydro generation systems
Decarbonizing the economy to fulfill the Paris Agreement goals requires the development of vast amounts of renewable power generation. The feasible integration of wind and solar photovoltaic power generation in the power ... -
Towards sustainability optimization in touristic route recommendation
While route recommendation plays a vital role in digital tourism services, conventional methods tend to be inherently complex, as they need to consider several constraints at once: user preferences, geographical and ... -
Impact of high penetration of grid forming converters in a large-scale power system
The stability of large-scale power systems is being challenged by the high penetration of converter interface generation (wind and solar photovoltaic).Synchronous generators must be committed to guarantee the stability of ... -
New challenges in metrology for health: looking for reliable diagnosis in electrocardiography and blood pressure measurement
Improving awareness of the importance of measurements in the field of health is one of the objectives of the Spanish Metrology Centre (CEM). To achieve this, a health metrology laboratory has been set up to develop projects ... -
Emerging innovations in health metrology for diagnostic imaging
The Spanish National Metrology Center (CEM) is dedicated to advance the understanding of the essential role of measurements in the healthcare sector. CEM has created a laboratory in healthcare metrology to ensure the ... -
Probabilistic functional forecasting of Residual Demand Curves in electricity markets
Residual Demand Curves (RDCs) in electricity markets represent the market-clearing price as a function of the energy traded. Being able to generate accurate scenarios of these curves is critical for market agents' strategic ... -
A decentralized business model for integrating energy hubs into flexibility markets within renewable-based smart grids
This paper presents a bi-level model enabling energy hubs to release all their flexible capacities according to the price pulse in real-time flexibility markets. The Alternating Direction Method of Multipliers (ADMM) is ... -
Building bidding curves for an EV aggregator via stochastic adaptive robust optimization
This paper proposes a stochastic adaptive robust optimization approach to build the bidding curves of an aggregator in charge of a set of electric vehicles participating in the day-ahead electricity market. These bidding ... -
Estrategia para la información y difusión del patrimonio geominero español mediante técnicas de realidad virtual portable en dispositivos móviles
La realidad virtual (VR) es la una herramienta muy útil para fomentar la participación y la motivación de los estudiantes en la educación, y por ende divulgar y difundir el patrimonio tangible, entre otros. En este trabajo, ... -
Impact of uncertain data in robust optimal bidding of RVPP in energy and reserve markets
Different probability distributions yield different outcomes of optimization problems under uncertainty such as the optimal bidding problem of RES-only Virtual Power Plant (RVPP). Robust Optimization represents uncertainties ... -
Tools for Reliability and Resilience-oriented planning and operation of hybrid ACDC power systems
The impact of extreme events on power system operation is a growing concern, and planning and operation of hybrid ACDC power systems should account for resilience. This paper presents a framework for reliability and ... -
Understanding generator droop voltage control
Power park modules are required by network codes to provide droop voltage power control at the point ofconnection (POC) to the grid. This paper contains a thorough analysis of the droop voltage control scheme of power park ... -
Exploring a 2030 nearly 100 renewable Spanish electricity system from a capacity-mix adequacy perspective
Nowadays, the increase in gas prices in Europe is fostering the penetration of renewable generation in electricity systems and pressing countries to accelerate the energy transition. It is then arguable whether goals on ... -
Integrating third-party flexibility resources into distribution networks: a quantitative assessment on the interactions of network tariffs and local markets
This paper explores innovative approaches to enhance the use of flexibility for electrical distribution networks by integrating time-of-use tariffs and local markets for DSO services. The study presents an analysis through ... -
The need for system balance restoration after congestion management: an examination of Iberian congestion management markets
The Iberian electricity markets use a dedicated congestion management market to address network constraint violations arising from zonal day-ahead market dispatches. This market operates in two phases: the first phase ... -
Biomass top-cycle CHP with hightemperature heat pump coupling: economic insights for industrial decarbonization
Over half of the final energy consumed by the European industrial sector relied on carbon-emitting fuels in 2022. Biomass-based cogeneration technologies can efficiently adjust to varying industrial electricity and heat ...