An ensemble system to predict the spatiotemporal distribution of energy security weaknesses in transmission networks

Sun, Chenhao; Wang, Xin; Zheng, Yongjun

doi:10.1016/j.apenergy.2019.114062

Cited by 13 publications

(8 citation statements)

References 54 publications

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“…According to the expected durations, a “downward” (“upward”) regime is the dominant or typical state of the US p&p the NAST. Consequently, mitigates the volatility of fuel prices, contributes to the fuel price stability, and hence develops the US ES in terms of risk and resilience (Kosai and Unesaki 2020a , b ; García Mazo et al 2020 ; Liu et al 2020a , b ; Sun et al 2020 ; Groissböck and Gusmão 2020 ; Francés et al 2013 ; Roques et al 2008 ) 18 . In respect of diagnostic tests, the findings of Durbin-Watson (DW) statistics pre- (2.03) and post- (2.07) the NAST show that no autocorrelation problem in the residuals is assessed in both sub-samples.…”

Section: Resultsmentioning

confidence: 99%

“…Consequently, the interconnection of uncertainty, speed- and expected duration of specified switching regimes of lead to a combination of fewer risks and higher resilience of the US ES, in response to the NAST. Specifically, the NAST causes resource availability, and a negative correlation among energy prices that facilitates the replacement of coal, oil, and green energy sources (e.g., nuclear power and renewable energy resources) by natural gas in the energy mix that supports the physical availability, price affordability and accessibility dimensions of the US ES, and therefore, increases the US (Kosai and Unesaki 2020a , b ; García Mazo et al 2020 ; Hasanov et al 2020 ; Liu et al 2020a , b ; Sun et al 2020 ; Acemoglu et al 2019 ; Francés et al 2013 ).…”

Section: Resultsmentioning

confidence: 99%

“…The second group of articles investigates determining the risks around ES, e.g., environment, technology, energy supply, geopolitics, and economic factors of individual economies and regions (Kosai and Unesaki 2020a ; García Mazo et al 2020 ; Hasanov et al 2020 ; Karatayev and Hall 2020 ; Lin and Raza 2020 ; San-Akca et al 2020 ; Liu et al 2020a , b ; Sun et al 2020 ; Groissböck and Gusmão 2020 ; Zeng et al 2017 ; Kiriyama and Kajikawa 2014 ; Francés et al 2013 ; Roques et al 2008 ) and finds that , renewables development, citizen commitment, the mobilization of technological and economic resources, and finally, a model of generation, efficiency, and distribution as well as the preventive- and optimizing control models have constructive roles in optimization of the security status and therefore, ES enhancement.…”

Section: Literature and Theorymentioning

confidence: 99%

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Energy security: the role of shale technology

Shirazi

2023

Environ Sci Pollut Res

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Sustainable energy systems are sensitive to the countries’ energy portfolio decisions, shaping geopolitics and contributing to the global energy security (ES). Accordingly, this paper applies the “Markov regime-switching” method to explore the impact of “the North American shale technology” (NAST) on behavioral regimes of the US energy security measurements (ESM), e.g., diversity of primary energy demand ($${\mathrm{ESI}}_{\mathrm{I}}$$ ESI I ), net energy import dependence ($${\mathrm{ESI}}_{\mathrm{II}}$$ ESI II ), non-fossil fuel resource portfolio ($${\mathrm{ESI}}_{\mathrm{III}}$$ ESI III ), and crude oil import dependency ($${\mathrm{ESI}}_{\mathrm{IV}}$$ ESI IV ). The findings confirm time-varying and asymmetric behavior of the US ESM before and after the NAST. Specifically, the overall interaction of substitution effect and scale effect of NAST strengthens the US energy systems through $${\mathrm{ESI}}_{\mathrm{I}}$$ ESI I , $${\mathrm{ESI}}_{\mathrm{III}}$$ ESI III , and $${\mathrm{ESI}}_{\mathrm{IV}}$$ ESI IV , while $${\mathrm{ESI}}_{\mathrm{II}}$$ ESI II leads to higher risks of the US energy supply security. Consequently, the shale reserves development, diversification of primary energy demand and import supply, and advanced energy transport and trading policies, are suggested to overcome the barriers in achieving (i) availability, (ii) accessibility, (iii) affordability, and (iv) acceptability aspects of ES and vulnerability reduction of the US energy systems in respect of risk and resilience.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Literature and Theorymentioning

confidence: 99%

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Energy security: the role of shale technology

Shirazi

2023

Environ Sci Pollut Res

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“…The top-ranked rules with high lift values are selected in [71], as frequent patterns of different faults occurring in distribution systems. The association rule learning method is also applied to a MES of heating, gas and electricity in [72], to predict the risks of transmission line faults considering different periods, locations, weather, voltage levels, etc.…”

Section: B Prediction Of the System Operation Performancementioning

confidence: 99%

On Machine Learning-Based Techniques for Future Sustainable and Resilient Energy Systems

Wang

Chatzivasileiadis

Panteli

et al. 2023

IEEE Trans. Sustain. Energy

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“…All sensor nodes not only need to complete the collection and processing of information, but also undertake the routing of information. The collected data will reach the convergence node through multi hop routing [4] . The convergence node is a special node.…”

Section: Analysis Of Network Architecture Of Epidemic Situation Of Infectious Diseasesmentioning

confidence: 99%

Modeling and Analysis of Network Direct Reporting Security of Infectious Diseases based on Wireless Communication Technology

Zhang

2021

Preprint

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In order to solve the problem of low security in the process of direct reporting of traditional infectious diseases, the corresponding network direct report security model is established by wireless communication technology. According to the network structure of infectious diseases, the transmission path of the information of direct report of epidemic situation is determined, and the data of direct report of epidemic situation is obtained by wireless communication technology. On this basis, the security risk level of wireless communication network is divided. This paper analyzes the negative factors that affect network security from hacker attack, high risk vulnerability of software and user information tampering. Combined with the analysis results of multiple security mechanisms of the direct report network of infectious diseases, the quantitative evaluation of network security is realized, that is, the modeling and analysis of the network direct report security of infectious diseases is realized. Compared with traditional security model, it is found that the network direct report security model can reduce the loss and error of infectious disease data, which has a high application value.

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An ensemble system to predict the spatiotemporal distribution of energy security weaknesses in transmission networks

Cited by 13 publications

References 54 publications

Energy security: the role of shale technology

Energy security: the role of shale technology

On Machine Learning-Based Techniques for Future Sustainable and Resilient Energy Systems

Modeling and Analysis of Network Direct Reporting Security of Infectious Diseases based on Wireless Communication Technology

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