Demand Response systems distributed on the cloud, offering a security &
privacy framework for data flow
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.