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A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis [PDF]
Frontiers in Big Data, 2022 This work presents the application of a methodology to measure domain expert trust and workload, elicit feedback, and understand the technological usability and impact when a machine learning assistant is introduced into contingency analysis for real ...
John Wenskovitch +5 more
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An Analytic Hierarchy Process Contingency Analysis of Factors Affecting the Emigration Decision of Medical Doctors in Turkey [PDF]
European Journal of Investigation in Health, Psychology and EducationWhile the importance of explicitly identifying and considering contingent factors such as decision content and context is widely accepted as a way to ensure the validity of the decision analysis for the specific task at hand, few studies include this ...
Cigdem Kadaifci +2 more
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Contingency planning in southern Africa: Events rather than processes? [PDF]
Jàmbá, 2013 With the increasing frequency, magnitude and impact of disasters, there is growing focus on contingency planning as a tool for enhancing resilience. Yet, there is little empirical evidence that reflects on the practice of contingency planning systems ...
Elias Mabaso, Siambabala B. Manyena
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Computing for power system operation and planning: Then, now, and the future
iEnergy, 2022 With the global trend of pursuing clean energy and decarbonization, power systems have been evolving in a fast pace that we have never seen in the history of electrification.
Yousu Chen +3 more
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Journal of Modern Power Systems and Clean Energy, 2021 Contingency analysis is an important building block in the stability and reliability analysis of power grid operations. However, due to the large number of transmission lines, in practice only a limited number of contingencies could be evaluated.
Lu Nan +4 more
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Bayesian Analysis of Contingency Tables [PDF]
Communications in Statistics - Theory and Methods, 2005 The display of the data by means of contingency tables is used in different approaches to statistical inference, for example, to broach the test of homogeneity of independent multinomial distributions. We develop a Bayesian procedure to test simple null hypotheses versus bilateral alternatives in contingency tables.
Gómez Villegas, Miguel Ángel +1 more
openaire +2 more sources
Enhanced Contingency Analysis—A Power System Operator Tool
Energies, 2021 Contingency analysis (CA) is a well-known function in power system planning and operation. In accordance with CA results, the system operator dispenses information regarding static security of the power system (overloads and/or voltage outside tolerable ...
Hrvoje Bulat +2 more
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Energies, 2021 The reliability of the electrical system is a fundamental study that is carried out to determine the possible deficiencies that an electrical system can have in case of failures, since a failure can cause disturbances, power cuts, and load disconnections.
Paul Masache +2 more
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A Systematic Review of Key Challenges in Hybrid HVAC–HVDC Grids
Energies, 2021 The concept of hybrid high-voltage alternating current (HVAC) and high-voltage direct current (HVDC) grid systems brings a massive advantage to reduce AC line loading, increased utilization of network infrastructure, and lower operational costs. However,
Umar Javed +9 more
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Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems
IEEE Access, 2020 The integration of renewable energy sources (RES) is rapidly increasing in electric power systems (EPS). While the inclusion of intermittent RES coupled with the wide-scale deployment of communication and sensing devices is important towards a fully ...
Xiaorui Liu +2 more
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