This paper studies the efficient estimation of expectations defined on convex rare-event sets using importance sampling. Classical importance sampling methods often neglect the geometry of the target set, resulting in...
A company ventures to expand its services from aluminum ship construction to full scale ship management business unit to provide hybrid services on its existing and new clients and further compete on a global scale. T...
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A voltage security region(VSR)is a powerful tool for monitoring the voltage security in bulk power grids with high penetration of *** can prevent cascading failures in wind power integration areas caused by serious ov...
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A voltage security region(VSR)is a powerful tool for monitoring the voltage security in bulk power grids with high penetration of *** can prevent cascading failures in wind power integration areas caused by serious over or low voltage *** bottlenecks of a VSR for practical applications are computational efficiency and *** bridge these gaps,a general optimization model for tracking a voltage security region boundary(VSRB)in bulk power grids is developed in this paper in accordance with the topological characteristics of the ***,the initial VSRB point on the VSRB is examined with the traditional OPF by using the base case parameters as initial ***,the rest of the VSRB points on the VSRB are tracked one after another,with the proposed optimization model,by using the parameters of the tracked VSRB point as the initial value to explore its adjacent VSRB *** proposed approach can significantly improve the computational efficiency of the VSRB tracking over the existing algorithms,and case studies,in the WECC 9-bus and the Polish 2736-bus test systems,demonstrate the high accuracy and efficiency of the proposed approach on exploring the VSRB.
Addressing the escalating issue of plastic pollution has become a critical environmental priority due to the global inadequacy in managing rising plastic waste. This study applies the Analytical Hierarchy Process (AHP...
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Controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approa...
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Controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approach at the PCC of ADNs using coordination of non-MPPT based ***,due to the intermittent nature of DGs coupled with PCC through uni-directional broadcast communication,the PCC becomes vulnerable to transient *** address this challenge,this study first presents a detailed mathematical model of an ADN from the perspective of PCC regulation to realize rigidness of PCC against ***,an H_(∞)controller is formulated and employed to achieve optimal performance against disturbances,consequently,ensuring the least oscillations during transients at ***,an eigenvalue analysis is presented to analyze convergence speed limitations of the newly derived system ***,simulation results show the proposed method offers superior performance as compared to the state-of-the-art methods.
Purpose: Despite technological advancements to enhance patient health, the risks of not discovering the correct interactions and trends in digital health are high. Hence, a careful policy is required for health covera...
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systemsengineering often employs "-ilities", such as affordability, to represent various aspects of a system. While these "-ilities" are widely used, exact definitions for the terms can vary betwe...
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The impact of COVID-19 has forced learning institutions to shift from physical to online methods. Due to the changes in learning environments, instructors and students must adapt to the online learning setup. Synchron...
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Intelligent chatbots powered by large language models(LLMs)have recently been sweeping the world,with potential for a wide variety of industrial *** frontier technology companies are feverishly participating in LLM-po...
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Intelligent chatbots powered by large language models(LLMs)have recently been sweeping the world,with potential for a wide variety of industrial *** frontier technology companies are feverishly participating in LLM-powered chatbot design and development,providing several alternatives beyond the famous ***,training,fine-tuning,and updating such intelligent chatbots consume substantial amounts of electricity,resulting in significant carbon *** research and development of all intelligent LLMs and software,hardware manufacturing(e.g.,graphics processing units and supercomputers),related data/operations management,and material recycling supporting chatbot services are associated with carbon emissions to varying *** should therefore be paid to the entire life-cycle energy and carbon footprints of LLM-powered intelligent chatbots in both the present and future in order to mitigate their climate change *** this work,we clarify and highlight the energy consumption and carbon emission implications of eight main phases throughout the life cycle of the development of such intelligent *** on a life-cycle and interaction analysis of these phases,we propose a system-level solution with three strategic pathways to optimize the management of this industry and mitigate the related *** anticipating the enormous potential of this advanced technology and its products,we make an appeal for a rethinking of the mitigation pathways and strategies of the life-cycle energy usage and carbon emissions of the LLM-powered intelligent chatbot industry and a reshaping of their energy and environmental implications at this early stage of development.
Demand response creates an opportunity for consumers to play an important role in the development of smart *** the advent of renewable energies and their uncertainties,demand response provides a possible solution to r...
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Demand response creates an opportunity for consumers to play an important role in the development of smart *** the advent of renewable energies and their uncertainties,demand response provides a possible solution to resolve these *** addition to demand response schemes in the presence of renewable energy,the personality types of consumers can influence the choice of tariffs and change their electricity *** this paper,first,household residents with different types of personalities are considered as energy ***,the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method called the Here-and-Now approach and considering three tariffs,time of use,real-time pricing,and direct load control in the residential sector to reduce total ***,the tariff choice is compared based on people preferences via various personality types,the Myers-Briggs Type Indicator test,and simulations ***,a probabilistic unit commitment methodology is used for distributed generations scheduling to minimize the total *** financial losses caused by non-optimal tariffs selection are determined through the comparison of *** results show that time of use and direct load control tariffs are optimal ones in summer and winter seasons,respectively.
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