Documentos de Trabajo: Envíos recientes
Mostrando ítems 41-60 de 2592
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Soft-Hard ESG Constraints in Portfolio Optimization via Cost-Aware Bayesian Optimization of Deep Reinforcement Learning Agents
The integration of Environmental, Social, and Governance (ESG) criteria into algorithmic portfolio optimization presents a fundamental challenge: how to balance financial performance with sustainability goals without ... -
Automatic Coefficient-Style Interpretation of Gaussian Process Regressions: Bridging Bayesian Nonparametrics and Econometric Reporting
Econometric practice prioritizes globally interpretable coefficients from parametric models, yet such interpretability can be misleading under functional form misspecification and heterogeneous marginal effects. Gaussian ... -
Do users respond to congestion pricing? Evidence on demand elasticity from managed lanes
While congestion pricing has been widely implemented, empirical evidence on price elasticities remains limited and often relies on discrete policy changes or low-frequency data, which constrain identification. Moreover, ... -
Active-power control strategies in grid-forming power converters to improve transient stability in power systems with 100% converter-based generation
Grid-forming voltage source converters (GFMVSCs) play a crucial role in the stability of power systems with large amounts of converter-based generation. Transient stability (angle stability under large disturbances) is a ... -
SRR-Based Liquid-Level Sensor with Axial MIW Coupling for Opaque Containers
This work presents a low-cost microwave sensor for liquid-level detection in opaque dielectric containers, with particular focus on olive oil. The proposed approach is based on a Square Split-Ring Resonator (SSRR) placed ... -
Uncovering Hidden Biases in Hydropower: Why Detailed Inflow Data is Crucial for Energy System Optimization Models
Hydropower plays a critical role in balancing highly renewable power systems, yet its representation in energy system optimization models is often constrained by limited availability of high-resolution inflow data. In ... -
MaDIoT 3.0: Análisis de Ataques a la Demanda y Generación Distribuida en un Sistema Eléctrico
Este artíıculo analiza el impacto y la eficacia de los ataques MaDIoT 3.0 en el modelo PST-16, un sistema europeosimplificado. Estos ataques, de carácter novedoso, permiten comprometer de forma simultánea dispositivos IoT ... -
Branches of markoff m-triples with two k-ibonacci components
We study infinite paths of Markoff m-triples, that is, solutions to the generalised Markoff equationx2 + y2 + z2 = 3xyz + m,with m > 0, with at least two k-Fibonacci components. First, we obtain a complete classification ... -
Operational Wildfire Ensembles for Electric Grid Assets: Mapping Burn Probability and Exposure
Wildfires are increasingly affecting electric power systems through two coupled pathways: ignitions initiated by grid assets (e.g., faults, conductor–vegetation contact, arcing) and damage or operational disruption when ... -
Valuation of Regulatory Risk on Pharmaceutical R&D
Geopolitical tensions, supply-chain concerns and policy risk have moved to the forefront of the pharmaceutical industry. This paper develops a real options valuation model of drug R&D that captures sequential clinical ... -
A Comparative Objective Weighting MCDM-GIS Approach to Renewable Hydrogen Production Site Selection: A Spanish Case Study
Deciding on the optimal location for a hydrogen production plant is a complex task that involves multiple factors, including proximity to demand centers, availability of renewable energy resources or existing infrastructure. ... -
Commons-Governed Automation as Material Infrastructure for an Economy for the Common Good
The Economy for the Common Good (ECG) movement proposes reorienting economic activity toward social justice and ecological sustainability. Yet a critical question remains underexplored: what material infrastructure could ... -
Frequency-Constrained UC via Second-Order ODEs with ML Surrogates
This paper proposes a fast and interpretable framework for frequency-constrained unit commitment (FCUC) using machine-learning (ML) surrogates. Unlike prior studies that rely on proprietary system-frequency-response tools, ... -
Sliding Mode Control Techniques for Voltage Source Converters under Low-Voltage Ride-Through Scenarios
The present paper evaluates different sliding mode control techniques for the negative-sequence current injection of voltage source converters under low-voltage ride-through scenarios. Under such scenarios those devices ... -
TDSF-Based Evaluation of Transformer Interactions with VCB, Cable Length, and Neutral Grounding
This paper presents a TDSF-based evaluation of dielectric severity in transformer windings, focusing on transient overvoltages induced by cable–transformer interactions during vacuum circuit breaker (VCB) closing. Unlike ... -
Grid-Forming Converter DC-link Control considering the Primary Energy Source using a Genetic Algorithm
The gradual substitution of conventional synchronous generators by electronic generators raises concerns about the reduction of conventional inertia in electric power systems and the ensuing threat to the stability of those ... -
Analysis of Grid-forming/following STATCOMs and Synchronous Compensators for Grid-following IBRs stability
This paper investigates how different compensating devices can enhance the small-signal stability of the system by means of the phase-locked loop (PLL) in inverter-based resources (IBRs) operating in grid-following mode. ... -
Scalable Complex Orders: How Euphemia Algorithm Improved Scalability while Facilitating Participants Bidding
Euphemia is the algorithm used in the Single Day-Ahead Coupling (SDAC) to clear the European Day-Ahead Market. Scalable Complex Orders (SCOs) were introduced in 2025 to represent generation units fixed costs and technical ...