activity
20202023
most citedPhysics-informed linear regression is competitive with two Machine Learning methods in residential building MPC

105 citations · 265 across the 13 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.SY2023

Experimental Validation for Distributed Control of Energy Hubs

Varsha Behrunani, Philipp Heer, John Lygeros

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-p…

eess.SY2023

Degradation-aware data-enabled predictive control of energy hubs

Varsha Behrunani, Marta Zagorowska, Mathias Hudoba de Badyn +3

Mitigating the energy use in buildings, together with satisfaction of comfort requirements are the main objectives of efficient building control systems. Augmenting building energy…

eess.SY2023

Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs

Varsha Behrunani, Hanmin Cai, Philipp Heer +2

The increasing penetration of renewable energy resources has transformed the energy system from traditional hierarchical energy delivery paradigm to a distributed structure. Such d…

eess.SY2023

Stochastic MPC for energy hubs using data driven demand forecasting

Varsha Behrunani, Francesco Micheli, Jonas Mehr +2

Energy hubs convert and distribute energy resources by combining different energy inputs through multiple conversion and storage components. The optimal operation of the energy hub…

eess.SY2023

Designing Fairness in Autonomous Peer-to-peer Energy Trading

Varsha Behrunani, Andrew Irvine, Giuseppe Belgioioso +3

Several autonomous energy management and peer-to-peer trading mechanisms for future energy markets have been recently proposed based on optimization and game theory. In this paper,…