MDS
Master Thesis on Quantum Computing optimization for the Unit Commitment problem.
Tue, 07/25/2023 - 19:31 — admin
On November 2021 Ms. Andrea Iglesias presented the MSc thesis dissertation Optimization through Quantum Computing to opt for the master's degree in Data Science of the Faculty of Informatics of Barcelona advised by prof. F.-Javier Heredia. This thesis explores the application of quantum computing techniques to solve Quadratic Unconstrained Binary Optimization problems (QUBO), proposing an improved reformulation of the classical multi-period unit commitment problem as a QUBO problem, and then solving the problem with the Quantum Approximate Optimization Algorithm (QAOA).
New publications
- Speculation – postponement strategies in supply chain network design problems: a modelling framework for new supply chain strategies through stochastic optimization
- Optimal Participation of Energy Communities in Electricity Markets under Uncertainty. A Multi-Stage Stochastic Programming Approach
- Optimal Participation of Energy Communities in Electricity Markets under Uncertainty. A Multi-Stage Stochastic Programming Approach
- Enhancing Shopping Centre Profitability through Optimized Tenant Mix and Synergistic Placement
- A model to optimize the tenant mix in a shopping centre