Social interaction interface for performance analysis of smart grids

Author(s):  
J.E.S. de Haan ◽  
P. H. Nguyen ◽  
W. L. Kling ◽  
P. F. Ribeiro
2015 ◽  
Vol 6 (1) ◽  
pp. 402-410 ◽  
Author(s):  
Yashar Ghiassi-Farrokhfal ◽  
Srinivasan Keshav ◽  
Catherine Rosenberg

Author(s):  
Ana Maria Soares ◽  
José Carlos M. R. Pinho ◽  
Teresa Heath ◽  
António Alves

This chapter focuses on the navigation experience in ecommerce. The authors address the impact of a number of hedonic dimensions, specifically perceived visual attractiveness, perceived enjoyment, and sociability, in consumers' online experiences. They develop and test a research model explaining how these factors affect trust, satisfaction, and ultimately, website loyalty. Findings from a survey carried out with 132 users of an airline's website, which displays a virtual customer service agent, support the model proposed. Specifically, results confirm that enriching consumers' sensory experiences online through aesthetics, an enjoyable experience, and a social interaction interface positively affects trust, satisfaction, and subsequently, loyalty.


Author(s):  
Daniel Roth ◽  
Larrissa Brübach ◽  
Franziska Westermeier ◽  
Christian Schell ◽  
Tobias Feigl ◽  
...  

Author(s):  
Surender Reddy Salkuti

This paper presents an overview of the performance analysis methods available for the Smart Grid (SG). Increased energy demand, volatile energy costs, uncertain power generation from the renewable energy resources (RERs), electric vehicles, and environmental concerns are coming together to change the nature of the traditional power grid. Many utility companies are now moving towards the smart metering and the Smart Grid solutions to address these challenges. Smart Grid is inclusive of advance tools, latest communication technologies and storage devices, which makes the Smart Grid vulnerable and complex. This paper aims to review the performance analysis of Smart Grid. It also presents various models of the Smart Grid performance indices. It presents the methods available for stability, reliability and resilience assessment in Smart Grid. It also describes the implementation approach using the real time tools and techniques.


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