277 documents found, page 1 of 28

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The Role of Demand and Vres Flexibility in Carbon-Neutral Power Systems: Insigh...

Algarvio, Hugo; Couto, António; Lopes, Fernando; Estanqueiro, Ana; Faia, Ricardo; Santos, Gabriel; Carvalho, Rui; Faria, Pedro; Vale, Zita

ABSTRACT: The goal of a carbon-neutral society by 2050 is speeding up the integration of variable renewable energy sources (vRES) in European power systems. For the expected levels of vRES, the adaptation of the demand will be crucial to manage the stochastic behaviour of these technologies. This work evaluates the impact of four prospective 2050 energy mix scenarios in the Iberian electricity market. All scena...

Date: 2025   |   Origin: Repositório do LNEG

Data Science in the Management of Healthcare Organizations

Faria, Pedro; Alves, Victor; Neves, José; Vicente, Henrique

The transformation of healthcare organizations is essential to address their inherent complexity and dynamic nature. This study emphasizes the role of Data Science, with the incorporation of Artificial Intelligence tools, in enabling data-driven and interconnected management strategies. To achieve this, a thermodynamic approach to Knowledge Representation and Reasoning was employed, capturing healthcare workers...


Reduction of the Market Splitting Occurrences: A Dynamic Line Rating Approach f...

Algarvio, Hugo; Couto, António; Estanqueiro, Ana; Carvalho, Rui; Santos, Gabriel; Faia, Ricardo; Faria, Pedro; Vale, Zita

ABSTRACT: Typically, Transmission System Operators apply power flow models with Seasonal Line Rating prescriptions to compute the ampacity of power lines, in a process that enables to obtain the cross-border capacity for trading between different countries or market zones. These seasonal-dependent models rely on fixed conservative meteorological conditions throughout the year, underestimating the real-time tran...

Date: 2024   |   Origin: Repositório do LNEG

Reduction of the Market Splitting Occurrences: A Dynamic Line Rating Approach f...

Algarvio, Hugo; Couto, António; Estanqueiro, Ana; Carvalho, Rui; Santos, Gabriel; Faia, Ricardo; Faria, Pedro; Vale, Zita

ABSTRACT: Typically, Transmission System Operators apply power flow models with Seasonal Line Rating prescriptions to compute the ampacity of power lines, in a process that enables to obtain the cross-border capacity for trading between different countries or market zones. These seasonal-dependent models rely on fixed conservative meteorological conditions throughout the year, underestimating the real-time tran...

Date: 2024   |   Origin: Repositório do LNEG

Comparação entre Segmentação Automática do Disco Ótico por SD-OCT e Retinografi...

Simão, Jorge; Raimundo, Miguel; Pereira, Pedro; Faria, Pedro; Moura Pereira, José; Neto, Joaquim

INTRODUÇÃO : O rácio estimado entre os diâmetros verticais ou horizontais do disco com a escavação do mesmo (rácio escavação/disco – E/D), é uma das formas clássicas de presumir o dano neurológico glaucomatoso, sendo o hallmark histórico no diagnóstico e avaliação da progressão da doença. O objetivo deste estudo é comparar a avaliação automática dos parâmetros planimétricos do disco óti...


Optimal strategy of electricity and natural gas aggregators in the energy and b...

Khojasteh, Meysam; Faria, Pedro; Lezama, Fernando; Vale, Zita

This paper presents a stochastic two-stage model for energy aggregators (EAs) in the energy and balancing markets to supply electricity and natural gas to end-users equipped with combined heat and power (CHP) units. The suggested model takes into account the battery energy storage (BES) as a self-generating unit of EA. The upper and lower subproblems determine the optimal energy supply strategy of EA and consum...


Evaluation Metrics to Assess the Most Suitable Energy Community End-Users to Pa...

Barreto, Rúben; Goncalves, Calvin; Gomes, Luis; Faria, Pedro; Vale, Zita

In the energy sector, prosumers are becoming relevant entities for energy management systems since they can share energy with their citizen energy community (CEC). Thus, this paper proposes a novel methodology based on demand response (DR) participation in a CEC context, where unsupervised learning algorithms such as convolutional neural networks and k-means are used. This novel methodology can analyze future e...


Power Quality of Renewable Energy Source Systems: A New Paradigm of Electrical ...

Baptista, José; Faria, Pedro; Canizes, Bruno; Pinto, Tiago

The power quality delivered by the distribution companies to consumers has always been a relevant issue, especially to industrial consumers, where power quality is directly related to productivity. However, until a few years ago, power quality was mostly synonymous with continuity of service, and the main concern was the minimization of power interruptions. Since the last decade of the twentieth century, power ...


Rating the participation in Demand Response events with a contextual approach t...

Silva, Cátia; Faria, Pedro; Vale, Zita; Terras, José M.; Albuquerque, Susete

The flexibility provided by the demand side will be crucial to take a step forward to increase the penetration of renewable energy resources in the system. The proposed methodology provides the aggregator with information about the most reliable consumers, attributing a trustworthy rate that characterizes their performance on Demand Response (DR) events. The innovation relies on applying rates and evaluating th...


Realistic Load Modeling for Efficient Consumption Management Using Real-Time Si...

Faria, Pedro; Vale, Zita

By empowering consumers and enabling them as active players in the power and energy sector, demand flexibility requires more precise and sophisticated load modeling. In this paper, a laboratory testbed was designed and implemented for surveying the behavior of laboratory loads in different network conditions by using real-time simulation. Power hardware-in-the-loop was used to validate the load models by testin...


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