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Opportunities for quantum computing within net-zero power system optimization
T Morstyn, X Wang - Joule, 2024 - cell.com
Optimized power system planning and operation are core to delivering a low-cost and high-
reliability transition path to net-zero carbon emissions. The major technological changes …
reliability transition path to net-zero carbon emissions. The major technological changes …
Scientometric Analysis of Quantum Algorithms for VANET Optimization
SK Sood - IEEE Transactions on Systems, Man, and …, 2024 - ieeexplore.ieee.org
The rapid proliferation of quantum information technologies, spanning theoretical
investigations to practical experiments, has generated a number of research papers and …
investigations to practical experiments, has generated a number of research papers and …
Grid Cost Allocation in Peer-to-Peer Electricity Markets: Benchmarking Classical and Quantum Optimization Approaches
D Bucher, D Porawski, B Wimmer, J Nüßlein… - ar** ahead Firefly Algorithm for solving Multidimensional Knapsack Problems
Complex optimization problems, especially those encountered in real-life scenarios, pose
significant challenges due to their multifaceted nature and the involvement of numerous …
significant challenges due to their multifaceted nature and the involvement of numerous …
Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment
Stochastic Unit Commitment (SUC) has been proposed to manage the uncertainties driven
by the integration of renewable energy sources. When solved by Benders Decomposition …
by the integration of renewable energy sources. When solved by Benders Decomposition …
Quantum Computing for Energy Management: A Semi Non-Technical Guide for Practitioners
J Tangpanitanon - arxiv preprint arxiv:2411.11901, 2024 - arxiv.org
The pursuit of energy transition necessitates the coordination of several technologies,
including more efficient and cost-effective distributed energy resources (DERs), smart grids …
including more efficient and cost-effective distributed energy resources (DERs), smart grids …
Electric vehicle charging optimization strategy based on the mopso algorithm
H Hu, Y Wei - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
Aiming at the problems of electric vehicle disorderly charging on grid load stability and
charging cost, this study considers the grid load pressure and presents a multi-faceted …
charging cost, this study considers the grid load pressure and presents a multi-faceted …
Enhancing Knapsack-Based Financial Portfolio Optimization Using Quantum Approximate Optimization Algorithm
Portfolio optimization is a primary component of the decision-making process in finance,
aiming to tactfully allocate assets to achieve optimal returns while considering various …
aiming to tactfully allocate assets to achieve optimal returns while considering various …