Strategic Management and Security Risk Assessment of Energy Systems

Urban Science, Год журнала: 2025, Номер 9(2), С. 48 - 48

Опубликована: Фев. 14, 2025

This study examines methods for assessing the risks of energy systems that supply urban areas based on an integrated approach in which a qualitative assessment takes into account internal and external impacts as element multifactorial analysis. A risk matrix is offered assessment, was built infrastructure facilities features functioning equipment potentially dangerous due to probability failures five-point scale possible degree severity consequences possibility restoring systems. The proposes two statistical models reliability parameters before onset critical situation calculations after event, i.e., restoration or adaptation system object being analyzed such restoration. allows consideration risks, taking both technical condition power environmental aspects, including their mutual influence, sustainable management. evaluates system’s failure intensity recovery developed assess functionality resilience effectively. using maximum likelihood estimation (MLE) showed when sampling data with total number n = 10, accuracy according indicator increases by 15%, especially relevant potential safety list threats proposed analysis company expert consequences. constructed reduces level threat, helps increase efficiency management at stages planning forecasting during operation, socio-economic

Язык: Английский

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Optimizing the sustainable performance of public buildings: A hybrid machine learning algorithm

Energy, Год журнала: 2025, Номер unknown, С. 135283 - 135283

Опубликована: Фев. 1, 2025

Язык: Английский

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Early Warning of Low‐Frequency Oscillations in Power System Using Rough Set and Cloud Model

International Transactions on Electrical Energy Systems, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 1, 2025

The stability of the power system is largely affected by low‐frequency oscillations, so early warning research on oscillations in grids has become an urgent task. Traditional oscillation methods are still deficient handling incomplete and highly discrete information. Compared with existing methods, we have pioneered a synergistic mechanism attribute screening continuous probabilistic feature fusion combining dynamic approximation algorithm rough sets cloud model, which effectively solves loss information caused discretization data traditional methods. Firstly, analyze principle grid oscillation, use to process raw indicators, remove redundant attributes, get set reflecting relationship different attributes. Then construct standard based operation comprehensive PMU obtain evaluation. Finally, through validation simulation 10 machine 39 node systems New England, as well comparison other rationality effectiveness proposed method proved be theoretical practical application value.

Язык: Английский

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IRAF-BRB: An Explainable AI Framework for Enhanced Interpretability in Project Risk Assessment

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127979 - 127979

Опубликована: Май 1, 2025

Язык: Английский

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