Towards Solving Short-Term Generation Scheduling Problems on Quantum Computers

S. Bruckner, F. Ferrarotti, R. Ramler, R. Wille, S. Hillmich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Identifying possible use cases for quantum computers is important to evaluate the potential. This work-in-progress paper explores their potential for addressing the short-term generation scheduling (STGS) problem in hydropower plants. By working towards reformulating the STGS problem as a quadratic unconstrained binary optimization (QUBO) problem, we aim to leverage the capabilities of quantum computers to find optimal solutions. Initial results using piecewise linear approximation indicate promising outcomes. Further research will focus on the QUBO formulation, implementing the approach on quantum hardware, and assessing its performance.

Original languageEnglish
Title of host publicationProduct-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers - 25th International Conference, PROFES 2024, Proceedings
EditorsDietmar Pfahl, Hina Anwar, Javier Gonzalez Huerta, Jil Klünder
PublisherSpringer Science and Business Media Deutschland GmbH
Pages164-170
Number of pages7
ISBN (Print)9783031783913
DOIs
StatePublished - 2025
Event25th International Conference on Product-Focused Software Process Improvement, PROFES 2024 - Tartu, Estonia
Duration: 2 Dec 20244 Dec 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15453 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Product-Focused Software Process Improvement, PROFES 2024
Country/TerritoryEstonia
CityTartu
Period2/12/244/12/24

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