A multilayered analysis of energy security research and the energy supply process

Kiriyama, Eriko; Kajikawa, Yuya

doi:10.1016/j.apenergy.2014.01.026

Cited by 57 publications

(34 citation statements)

References 61 publications

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“…Renewable energy is an important part of the energy supply system [93]. Presently, the development and utilization of renewable energy is expanding all over the world, thus, its application cost is dropping fast.…”

Section: Discussionmentioning

confidence: 99%

A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost

Пин

Zhang

2018

Energies

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Abstract:Energy supply security is a significant part of China's security, directly influencing national security and economic and social sustainability. To ensure both China's present and the future energy supply, it is essential to evaluate and forecast the energy supply level. However, forecasting the energy supply security level is difficult because energy supply security is dynamic, many factors affect it and there is a lack of accurate and comprehensive data. Therefore, based on previous studies and according to the characteristics of energy supply and the social development of China, first, the authors apply a comprehensive evaluation method to quantify the energy supply security. Second, based on the ARIMA-XGBoost hybrid model, the authors create two novel approaches for forecasting the energy supply security level of China. The authors find that: (1) energy supply security is dynamic, and green development has become the theme of China's energy development. The energy industry urgently needs to provide more high-quality ecological energy products to meet the people's desire for a beautiful ecological environment; (2) since the mean absolute percentage errors are below 4.5% when forecasting the energy supply security indicators, the ARIMA-XGBoost hybrid model is more accurate for forecasting China's energy supply security level and (3) the security level of China's energy supply has developed periodic features; the ESSI can improve by about 0.2 every five years, but, due to the low starting point and multiple types of constraints, it is difficult to reach the safety level in a short time.

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Section: Discussionmentioning

confidence: 99%

A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost

Пин

Zhang

2018

Energies

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“…7,468 papers were retrieved from a Web-based literature database, "Web of Science" (Thomson Reuters, 2016), which included "smart energy, " "smart community, " "smart grid, " "district heating, " "computable general equilibrium (CGE), " "MARKAL, " or "energy system simulation" in the abstract, title, or keywords, and clusters were created based on these citation networks. The detailed procedure for retrieval of papers, analysis of citation networks, and the creation of clusters has been discussed in previous works (e.g., Shibata et al, 2009;Kiriyama and Kajikawa, 2014). Figure 1 shows the result of a bibliometric analysis of academic journal papers on smart energy.…”

Section: Settingsmentioning

confidence: 99%

“…In this paper, the academic landscape system (Kajikawa et al, 2007;Innovation Policy Research Center, 2016) was adopted as a method of characterizing research in smart energy. This method has been applied previously to the characterization of sustainability (Kajikawa, 2008), its assessment methods (Kikuchi, 2014), energy security (Kiriyama and Kajikawa, 2014), and distributed energy sources (Kikuchi et al, 2016a). 7,468 papers were retrieved from a Web-based literature database, "Web of Science" (Thomson Reuters, 2016), which included "smart energy, " "smart community, " "smart grid, " "district heating, " "computable general equilibrium (CGE), " "MARKAL, " or "energy system simulation" in the abstract, title, or keywords, and clusters were created based on these citation networks.…”

Section: Settingsmentioning

confidence: 99%

Simulation-Based Approaches for Design of Smart Energy System: A Review Applying Bibliometric Analysis

Kikuchi

2017

J. Chem. Eng. Japan / JCEJ

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The design of energy systems has become an issue of worldwide interest. A single optimal energy system cannot be suggested because the availability of infrastructure and resources, and the acceptability of the system should be discussed locally with the involvement of all related stakeholders. A simulation-based approach is strongly needed for such a purpose. In this paper, the current major trends are reviewed on research activities related to smart energy systems. First, a bibliometric analysis of academic papers was conducted with the aim of visualizing clusters that indicate the hot topics attributable to smart energy systems. Considering the extracted research topics and representative references that are the core of each cluster, possible simulation-based approaches for the design of smart energy system are schematically structured on the basis of social, economic, and technological aspects. Through this study, the framework needed for the design of smart energy systems is characterized with simulation-based socioeconomic and technological analyses.

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“…No matter how secure the system, it is impossible to completely remove the risk of sudden shocks caused by unpredictable events such as geopolitical tensions, price shocks, or technical faults such as power station failures and line trips. Therefore, an important aspect of system security lies in ensuring that supplyside and demand-side aspects of the system can quickly respond to and recover from such shocks (Kiriyama and Kajikawa 2014). It is important to note that DSR can provide an important source of both Frequency Response and Short-term Operating Reserve (STOR) (Ofgem 2013b).…”

Section: Sub-dimension 9: Shock Resiliencementioning

confidence: 99%

“…The differentiation between long and short term approaches can be conceptualised as a differentiation between gradual 'stresses', such as resource depletion or geopolitical tensions, and sudden 'shocks', such as a technical fault at a plant or a powerline failure (Dawson et al 2010;Hoggett et al 2011;Hoggett et al 2014;Hughes and Ranjan 2013;Jewell et al 2014;Kiriyama and Kajikawa 2014;Mitchell and Watson 2013a;Stirling 2014).…”

Section: Towards An Analytical Framework For Empirical Analysismentioning

confidence: 99%

Assessing Energy Security in a Low-Carbon Context: The Case of Electricity in the UK

Cox

2016

SSRN Journal

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A multilayered analysis of energy security research and the energy supply process

Cited by 57 publications

References 61 publications

A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost

A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost

Simulation-Based Approaches for Design of Smart Energy System: A Review Applying Bibliometric Analysis

Assessing Energy Security in a Low-Carbon Context: The Case of Electricity in the UK

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