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Found 7 papers, 0 papers with code
A Deep Q-Learning based Smart Scheduling of EVs for Demand Response in Smart Grids
Economic and policy factors are driving the continuous increase in the adoption and usage of electrical vehicles (EVs).
Electric Vehicles coordination for grid balancing using multi-objective Harris Hawks Optimization
Nowadays, the energy grid cannot deal with a spike in EVs usage leading to a need for more coordinated and grid aware EVs charging and discharging strategies.
FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction
Privacy is important when dealing with sensitive personal information in machine learning models, which require large data sets for training.
Social Factors in P2P Energy Trading Using Hedonic Games
We integrated the proposed hedonic game model into a state-of-the-art blockchain-based P2P energy flexibility market and evaluated its performance within an energy community of prosumers.
An Overview of Digital Twins Application Domains in Smart Energy Grid
The Digital Twins offer promising solutions for smart grid challenges related to the optimal operation, management, and control of energy assets, for safe and reliable distribution of energy.
Blockchain platform for COVID-19 vaccine supply management
In this paper, we discuss how blockchain technology can be used for assuring the transparent tracing of COVID-19 vaccine registration, storage and delivery, and side effects self-reporting.
Person Identification
Distributed, Parallel, and Cluster Computing
C.2.4
Blockchain based Decentralized Applications: Technology Review and Development Guidelines
Blockchain or Distributed Ledger Technology is a disruptive technology that provides the infrastructure for developing decentralized applications enabling the implementation of novel business models even in traditionally centralized domains.
Distributed, Parallel, and Cluster Computing C.2.4
