Fuzzy TOPSIS Approach Based on Axiomatic Fuzzy Set for Assessing Thermal-Energy Storage in Concentrated Solar Power (CSP) Systems

Tao, Lili; Dong, Yinfeng; Qi, Liyan; Lv, Si-Yang

doi:10.1109/icnisc.2017.00041

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…At the same time, the system can automatically filter when the user interacts with the QR code and AR pictures on the mobile phone. Useless information and display effective information for travelers of different levels fully shows that the combination of tourism management system and the Internet of things has changed the past travel methods [20].…”

Section: G Iot For Smart Tourismmentioning

confidence: 99%

Machine learning-based cloud IOT platform for intelligent tourism information services

Liu²

2022

J Wireless Com Network

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Thanks to the continuous development of the tourism industry, the application of Internet of things (IoT) begins to boom among modern tourists. Smart tourism utilizes Internet of things to facilitate the information dissemination and exchange, making IoT technology an indispensable part of next-generation travelling tool kits. In this paper, based on visitor selection behavior, we develop a hybrid intelligent categorization approach. Particularly, our proposed method of categorization could help tourists decide whether or not to visit a sightseeing attraction in a minutes. Cross-validation testing and performance assessment show that our designed platform can work effectively and efficiently by considering a variety of factors.

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Section: G Iot For Smart Tourismmentioning

confidence: 99%

Machine learning-based cloud IOT platform for intelligent tourism information services

Liu²

2022

J Wireless Com Network

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“…At the same time, the system can automatically filter when the user interacts with the QR code and AR pictures on the mobile phone. Useless information and display effective information for travelers of different levels, which fully shows that the combination of tourism management system and the Internet of Things has changed the past travel methods [20].…”

Section: G Iot For Smart Tourismmentioning

confidence: 99%

Machine Learning Based Cloud IoT Platform for Intelligent Tourism Information Services

Liu

2022

Preprint

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Because of the continuous development of the tourism industry, the application of the Internet of Things technology to tourism projects is very promising in the future. Smart tourism takes use of the Internet of Things to improve information exchange. Therefore, in order to meet the needs of the next generation of tourists in the future, the Internet of Things technology will become an indispensable part. As a consequence, based on visitor selection behavior, we offer a hybrid intelligent categorization approach. This method of categorization might help tourists decide whether or not to visit a tourist attraction. Cross-validation testing and performance assessment results indicate the method's effectiveness.

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“…Sensitivity analysis showed the impact of risk preferences on alternatives status and concluded that even for various risk preferences of DMs for primary criteria, the Li-ion battery was always preferred over the NaS battery. 163 Tao et al 166 proposed method which can be used to analyze thermal ESS in CSP plants. The various 10 heat storage systems were evaluated with 10 criteria.…”

Section: Applications Of Mcdm Techniques In Energy Storage Systemsmentioning

confidence: 99%

“…They concluded that the use of molten salt helps to reduce the price of electricity and improves the energy performance in an eco-friendly way as salt is comparatively inexpensive and more environmentally gentle than present heat transfer fluids (HTFs), but contradictorily the high freezing point leads to significant operating and maintenance issues and requires an advanced freeze protection system. 166 A similar analysis was also conducted for energy storage technologies while exploiting benefits in context of power quality using AHP and Fuzzy logic as MCDM techniques by Barin et al 164 Various energy storage elements considered were pumped hydro storage, CAES, hydrogen storage, flywheel, and super-capacitors. The key objective of analysis was to develop the most appropriate storage energy system.…”

Section: Applications Of Mcdm Techniques In Energy Storage Systemsmentioning

confidence: 99%

A comprehensive review on applications of multicriteria decision‐making methods in power and energy systems

Bohra

Anvari‐Moghaddam

2021

Intl J of Energy Research

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Summary Energy has been considered as one of the essential needs of mankind along with air, water, and food and witnessed evolution of civilization since evidence of human life. Managing energy resources is one of the challenging problems being capital intensive. Addressing this involves critical thinking and decision making with all possible aspects, technically known as set of primary and secondary criteria. There exist a number of literature sources addressing applications of multicriteria decision‐making (MCDM) in different energy‐related areas. Some are focusing on energy policy making, few are explaining site selection of solar PV, wind farm, and hydro power plants, and a few are describing applications in load management. Moreover, a few literature in this field elaborates various MCDM methods and their applications. In this article, an extensive and exhaustive study is carried out incorporating almost all possible applications of MCDM in renewable energy area. Various energy‐intensive applications are mapped with MCDM methods along with governing sensitive parameters. Hence, this study facilitates practicing engineers, decision‐makers, academician, and researchers to identify areas and MCDM techniques researched over the past decade in energy sector for planning, managing, selecting renewable resources, etc.

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Fuzzy TOPSIS Approach Based on Axiomatic Fuzzy Set for Assessing Thermal-Energy Storage in Concentrated Solar Power (CSP) Systems

Cited by 3 publications

References 6 publications

Machine learning-based cloud IOT platform for intelligent tourism information services

Machine learning-based cloud IOT platform for intelligent tourism information services

Machine Learning Based Cloud IoT Platform for Intelligent Tourism Information Services

A comprehensive review on applications of multicriteria decision‐making methods in power and energy systems

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