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Experimental Validation for Distributed Control of Energy Hubs
As future energy systems become more decentralised due to the integration of renewable energy resources and storage technologies, several autonomous energy management and peer-to-peer trading mechanisms have been recently proposed for the operation of energy hub networks based on optimization and game theory.
Degradation-aware data-enabled predictive control of energy hubs
Mitigating the energy use in buildings, together with satisfaction of comfort requirements are the main objectives of efficient building control systems.
Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs
Joint operation of such hubs can improve energy efficiency and support the integration of renewable energy resource.
Stochastic MPC for energy hubs using data driven demand forecasting
Historical data is used to build a demand prediction model based on Gaussian processes to generate a forecast of the future electricity and heat demands.
Designing Fairness in Autonomous Peer-to-peer Energy Trading
Several autonomous energy management and peer-to-peer trading mechanisms for future energy markets have been recently proposed based on optimization and game theory.
