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Probabilistic analysis of the distributed power generation in weakly meshed distribution systems
(2011-05-31)
This paper presents an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems considering uncertainty in load demand. In order to achieve high computational efficiency this approach ...
An economic–probabilistic model for project selection and prioritization
(Elsevier Ltd, Association of Project Management (APM) and the International Project Management Association (IPMA)Amsterdam, 2014-08)
This paper presents an economic–probabilistic model for project selection and prioritization that enables necessary investments and potential benefits and their inherent variability to be quantified, thus providing a ...
ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
(Univ Nac Colombia, Fac Nac Minas, 2014)
Robust MPC suitable for closed-loop re-identification, based on probabilistic invariant sets
(Elsevier Science, 2018-08)
This work extends a recent set-based Model Predictive Control (MPC) scheme for closed loop re-identification that solves the potential conflict between the simultaneous persistent excitation of the system and the stabilization ...
Belief revision in structured probabilistic argumentation: Model and application to cyber security
(Springer, 2016-12)
In real-world applications, knowledge bases consisting of all the available information for a specific domain, along with the current state of affairs, will typically contain contradictory data, coming from different ...
Intra-day solar probabilistic forecasts including local short-term variability and satellite information
(Elsevier, 2020)
In this work, three models are built to produce intra-day probabilistic solar forecasts with lead times ranging from 10 min to 3 h with a granularity of 10 min. The first model makes only use of past ground measurements. ...
Systematic model-based safety assessment via probabilistic model checking
(Universidade Federal de Pernambuco, 2014)
A Greedy Randomized Adaptive Search With Probabilistic Learning for solving the Uncapacitated Plant Cycle Location Problem
In this paper, we address the Uncapacitated Plant Cycle Location Problem. It is a location-routing problem aimed at determining a subset of locations to set up plants dedicated to serving customers. We propose a mathematical ...
Probabilistic seismic hazard analysis and design earthquake for Santiago, Dominican RepublicProbabilistic seismic hazard analysis and design earthquake for Santiago, Dominican Republic
(Instituto Tecnológico de Santo Domingo (INTEC), 2019)