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A. Marano Marcolini

Researcher at University of Seville

Publications -  5
Citations -  398

A. Marano Marcolini is an academic researcher from University of Seville. The author has contributed to research in topics: Electric power system & Internal medicine. The author has an hindex of 2, co-authored 3 publications receiving 334 citations.

Papers
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State-of-the-art, challenges, and future trends in security constrained optimal power flow

TL;DR: In this paper, the main challenges to the security constrained optimal power flow (SCOPF) computations are discussed, focusing mainly on: approaches to reduce the size of the problem by either efficiently identifying the binding contingencies and including only these contingencies in the SCOPF or by using approximate models for the post-contingency states, and the handling of discrete variables.
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Effect of BMI on safety of bariatric surgery during the COVID-19 pandemic, procedure choice, and safety protocols – An analysis from the GENEVA Study

Rishi Singhal, +422 more
TL;DR: In this paper , a global study of patients who underwent bariatric surgery between 1/05/2020 and 31/10/2020 was conducted to assess the safety of this approach, and the effect of preoperative BMI on 30-day morbidity and mortality, procedure choice, COVID-19 specific safety protocols, and comorbidities was assessed.
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Preventive voltage control actions to securely face load evolution in power systems

TL;DR: In this paper, the authors propose a hybrid method that allows the comparison of different kinds of control variables and the inclusion of the operator background and experience in the algorithm that determines the actions.
Proceedings ArticleDOI

Load a Frequency Control in Competitive Power Systems

TL;DR: In this paper, the authors propose new regulation structures and mechanisms in order to improve the secondary reserve energy management for electric systems opened to competition in generation, taking into account their peculiarities, specially in the Spanish case.
Proceedings ArticleDOI

Stochastic Programming Model for the Provision of Flexibility by Energy Communities

TL;DR: In this article , the stochastic optimization of an energy community that provides upward and downward reserves to the grid operator is presented, where the resources available are a community storage system, a community photovoltaic plant, flexible loads and interruptible loads of a higher education institution.