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Title |
Demand Response Systems Distributed on the Cloud, Offering a Security & Privacy Framework for Data Flow |
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Author |
SeyedEbrahim Dashti, Ahmed Rahman Abdulzahra, Rowad Salah Hadi |
| Citation |
Vol. 25 No. 3 pp. 107-121 |
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Abstract |
Demand Response (DR) is quickly becoming a critical component of the contemporary energy industry, notably in EU energy markets. As a result, substantial work has gone into standardizing demand response data models. As a result, an increasing number of demand response concepts are based on these standards. As a result, an increasing number of demand response concepts are based on these standards. These approaches, however, are often centralized, and those that rely on cloud solutions employ the cloud as a centralized data repository, assuming that the data is already homogenised when saved, i.e. all data has the same structure and type. In practice, however, DR plans rely on a number of components that deliver data in a variety of forms and types. Furthermore, the various DR standards establish models for various data formats, which impede data sharing between different DR systems. This article introduces CIM, a generic technology that allows current disaster recovery systems to disperse their components in the cloud while providing a robust security and privacy foundation for data interaction. Furthermore, the CIM includes a semantic interoperability layer capable of transforming data into a normalised form when transferred, allowing it to be consumed transparently by DR components. Experiments support the CIM as a solution for DR systems to decentralize their designs and share heterogeneous data with other DR systems that adhere to other DR standards. |
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Keywords |
Demand response, cloud, security, data flow. |
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