A smart city is a new concept of cities that apply the new generation of information communication technologies (Smart ICT), such as the Internet-of-Things, cloud computing, big data, to improve and manage the planning, construction and smart services of cities.  The utility power system in smart City is  highly  energy  and  resource  efficient, it relies on integrated and resilient  resource  systems,  as  well  as  insight-driven   and  innovative  approaches  to  strategic  planning. The application of information and communication technologies is commonly a means to meet these objectives. There are many challenges and opportunities of emerging and future smart grids and smart cities, which can be addressed by means of cloud computing. For instance, dynamic energy pricing, i.e., shifting the potential peak demand to a different time when the energy price is lower. A cloud-based platform will be instrumental in minimizing network complexity and providing cost-effective solutions as well as increasing the utilization of energy. Smart grid and smart city services/applications may be deployed in various ways, such as in a private cloud, community cloud, or hybrid cloud.  As a step into this direction, we study dynamic pricing strategies for brokering, which will be implemented on the cloud service, based upon data collected from smart meters to help the users make the best selection with the energy resources from different energy retailers. In this dynamic pricing scheme, more  than  one  energy  retailer is considered and for each retailer, the price  for  the users  can  be  adjusted  dynamically  depending on the current energy demand  and  prices  offered  by the other retailers in each region; in order to achieve the highest individual or combined revenue. The users’ energy demand changes  with  the  price  to  maximize  their  individual  utility, and  users  might  choose  different  retailers  based  on the  provided  prices. The brokering will choose the lowest cost of energy resources based on clients’ energy usage demand in real time. Dynamic pricing aims at reducing the overall energy consumption, the capacity of end use customers to change their electricity usage  from  their  normal  or  current  consumption  patterns  in  response  to  market  signals is   mainly   about   shifting   consumption   to   a   different   point   in  time. Furthermore, during the analysis, we have come to know that standardization in the area of metering and billing lags behind research. Therefore, in our study we focus on researching the market requirements for cloud service metering and billing to highlight and determine gaps between industry practices, market requirements and current technical standardisation efforts at ISO/IEC JTC 1/SC 38 committee in order to  pave the way to establishing standards in metering indicators and billing principles for cloud services this while keeping in mind privacy and data protection risks and regulations enforced by ISO JT1/SC 27 and EU General Data Protection Regulation effective May 2018. Key words: Smart Cities, Cloud Computing Dynamic Pricing, Technical Standardisation,  Utility Power System This research was conducted in collaboration with ILNAS – the Institut Luxembourgeois de la Normalisation, de l’Accréditation, de la Sécurité et qualité des produits et services (ILNAS) under the authority of the Minister of Economy, Luxembourg.

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