  Efficient energy management of Distributed Renewable Energy Resources (DRER)
enables a more sustainable and efficient energy ecosystem. Therefore, we
propose a holistic Energy Management System (EMS), utilising the computational
and energy storage capabilities of nearby Electric Vehicles (EVs), providing a
low-latency and efficient management platform for DRER. Through leveraging the
inherent, immutable features of Distributed Ledger Technology (DLT) and smart
contracts, we create a secure management environment, facilitating interactions
between multiple EVs and energy resources. Using a privacy-preserving load
forecasting method powered by Vehicular Fog Computing (VFC), we integrate the
computational resources of the EVs. Using DLT and our forecasting framework, we
accommodate efficient management algorithms in a secure and low-latency manner
enabling greater utilisation of the energy storage resources. Finally, we
assess our proposed EMS in terms of monetary and energy utility metrics,
establishing the increased benefits of multiple interacting EVs and load
forecasting. Through the proposed system, we have established the potential of
our framework to create a more sustainable and efficient energy ecosystem
whilst providing measurable benefits to participating agents.
