Springer Nature
Lecture Notes in Operations Research
,  страницы 113-120

A Quantum Computing Approach for the Unit Commitment Problem

Тип публикации: Book Chapter
Дата публикации: 2023-08-29
Связанные публикации
Springer Nature
SJR: —
CiteScore: 0.3
Impact factor: —
ISSN: 2731040X, 27310418
Краткое описание
Planning energy production is a challenging task due to its cost-sensitivity, fast-moving energy markets, uncertainties in demand, and technical constraints of power plants. Thus, more complex models of this so-called unit commitment problem (UCP) have to be solved more rapidly, a task that probably can be solved more efficiently via quantum computing. In this article, we model a UCP with minimum running and idle times as a quadratic unconstrained optimization problem to solve it on quantum computing hardware. First experiments confirm the advantages of our formulation in terms of qubit usage and connectivity and most importantly solution quality.
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Halffmann P. et al. A Quantum Computing Approach for the Unit Commitment Problem // Lecture Notes in Operations Research. 2023. pp. 113-120.
ГОСТ со всеми авторами (до 50) Скопировать
Halffmann P., Holzer P., Plociennik K., Trebing M. A Quantum Computing Approach for the Unit Commitment Problem // Lecture Notes in Operations Research. 2023. pp. 113-120.
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TY - GENERIC
DO - 10.1007/978-3-031-24907-5_14
UR - https://doi.org/10.1007/978-3-031-24907-5_14
TI - A Quantum Computing Approach for the Unit Commitment Problem
T2 - Lecture Notes in Operations Research
AU - Halffmann, Pascal
AU - Holzer, Patrick
AU - Plociennik, Kai
AU - Trebing, Michael
PY - 2023
DA - 2023/08/29
PB - Springer Nature
SP - 113-120
SN - 2731-040X
SN - 2731-0418
ER -
BibTex
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@incollection{2023_Halffmann,
author = {Pascal Halffmann and Patrick Holzer and Kai Plociennik and Michael Trebing},
title = {A Quantum Computing Approach for the Unit Commitment Problem},
publisher = {Springer Nature},
year = {2023},
pages = {113--120},
month = {aug}
}
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