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The IT system is one of the key infrastructures in order to add intelligent feature to power grids. Many papers anticipated a rocky road for IT system integration into power system and suggested the cloud computing adoption as a smart grid IT infrastructure to smooth the integration. Though cloud computing could overcome some of these integration challenges, it would bring some of its own. This study intends to give more insight to decision makers or utility companies to make a better decision whether to adopt cloud computing with regards to their needs or not. In the problem statement section is explained why the current approach to define advantages and disadvantages of cloud computing from selective point of views is not enough and might not be accurate, and a comprehensive assessment is required. The proposed multi-perspective framework takes all the criteria that would affect the assessment of cloud computing and put them into organizational, technical, economical, social and political categories. This framework would guide players in smart grid to better define benefits and challenges of cloud computing according to their needs.

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A scenario-based multi-attribute decision-making (MADM) methodology has been developed and applied for the selection of automotive technology. The present study discusses, what are the problems for the current automotive technologies are, what requirements are outlined in the literatures and government guidelines/publications, considering different aspects of technological needs, public needs, policy measures etc. A set of criteria are developed, which cover multiple perspectives; reflecting the diverse stakeholders in the technology assessment, acquisition and adoption, in this case the government, the general public which includes drivers and pedestrians, automobile manufacturers. Three emerging technologies (Vehicle-to-Vehicle communication, Vehicle-to-Infrastructure and Full autonomous) were identified and evaluated based on the mentioned criteria using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multi criteria decision tool. Since the technologies are still being developed and some are barely emerging, it is considered appropriate to use speculative values from the publications from industry and other credible sources and consider multiple scenarios each of which could occur. In our case, we considered 9 main scenarios and evaluated the three technology candidates under each of them.

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