Andrea Michiorri
Andrea MICHIORRI
Enseignant Chercheur
Mines Paris, PSL University
Centre for processes, renewable energy and energy systems (PERSEE)
06904 Sophia Antipolis, France
67%
Libre accès
6
Documents
Affiliations actuelles
- 214579
Identifiants chercheurs
- andrea-michiorri
- ResearcherId : G-5321-2011
- 0000-0002-8440-7128
- IdRef : 235735124
Présentation
Andrea Michiorri received his Eng. degree in Mechanical Engineering with a specialization in Energy at the University of Rome ‘La Sapienza’ in 2005. He then obtained a PhD from the University of Durham in 2010 with a dissertation on the thermal state estimation of power system components, research awarded at the 2010 UK IET Engineering Awards. He is currently an associate professor at Center for Processes, Renewable Energies and Energy Systems (PERSEE) of MINES-ParisTech in Sophia Antipolis, France, working on the integration of renewable resources and distributed generators into the power system, with a particular attention to the aspects of decision making under uncertainty.
Publications
- 6
- 6
- 3
- 2
- 6
- 1
- 1
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Towards Resilient Energy Forecasting: A Robust Optimization ApproachIEEE Transactions on Smart Grid, 2023, pp.1-1. ⟨10.1109/TSG.2023.3272379⟩
Article dans une revue
hal-03792191v3
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Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable EnergyIEEE Transactions on Power Systems, 2022, ⟨10.1109/TPWRS.2022.3152667⟩
Article dans une revue
hal-03330017v3
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Prescriptive Trees for Integrated Forecasting and Optimization Applied in Trading of Renewable Energy17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Jun 2022, Manchester - Online, United Kingdom
Communication dans un congrès
hal-03718662v1
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Making Energy Forecasting Resilient to Missing Features: a Robust Optimization Approach42nd International Symposium on Forecasting, Jul 2022, Oxford, United Kingdom
Communication dans un congrès
hal-03718668v1
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A Value-Oriented Price Forecasting Approach to Optimize Trading of Renewable Generation2021 IEEE Madrid PowerTech, IEEE, Jun 2021, Madrid, Spain
Communication dans un congrès
hal-03208575v1
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Prescriptive Trees for Value-oriented Forecasting and Optimization: Applications on Storage Scheduling and Market Clearing2021
Pré-publication, Document de travail
hal-03363876v1
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