A
Alessandra Parisio
Researcher at University of Manchester
Publications - 61
Citations - 4367
Alessandra Parisio is an academic researcher from University of Manchester. The author has contributed to research in topics: Model predictive control & Microgrid. The author has an hindex of 23, co-authored 52 publications receiving 3706 citations. Previous affiliations of Alessandra Parisio include Royal Institute of Technology & University of Sannio.
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Journal ArticleDOI
Use of model predictive control and weather forecasts for energy efficient building climate control
Frauke Oldewurtel,Alessandra Parisio,Colin N. Jones,Dimitrios Gyalistras,Markus Gwerder,Vanessa J. Stauch,Beat Lehmann,Manfred Morari +7 more
TL;DR: In this paper, the authors investigated how ModelPredictive control and weatherpredictions can increase the energy efficiency in Integrated Room Automation (IRA) while respecting occupant comfort.
Journal ArticleDOI
A Model Predictive Control Approach to Microgrid Operation Optimization
TL;DR: A model predictive control approach is applied to the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints and the experimental results show the feasibility and the effectiveness of the proposed approach.
Proceedings ArticleDOI
Energy efficient building climate control using Stochastic Model Predictive Control and weather predictions
Frauke Oldewurtel,Alessandra Parisio,Colin N. Jones,Manfred Morari,Dimitrios Gyalistras,Markus Gwerder,Vanessa J. Stauch,Beat Lehmann,Katharina Wirth +8 more
TL;DR: In this article, a stochastic model predictive control (SMPC) strategy for building climate control is proposed to take into account weather predictions to increase energy efficiency while respecting constraints resulting from desired occupant comfort.
Journal ArticleDOI
A robust optimization approach to energy hub management
TL;DR: Simulation results underline the benefits resulting from the application of the proposed approach using Robust Optimization techniques to an energy hub structure designed in Waterloo, Canada.
Proceedings ArticleDOI
Reducing peak electricity demand in building climate control using real-time pricing and model predictive control
TL;DR: A newly developed time-varying, hourly-based electricity tariff for end-consumers is proposed, that has been designed to truly reflect marginal costs of electricity provision, based on spot market prices as well as on electricity grid load levels, which is directly incorporated into the MPC cost function.