Quantum Machine Learning for Photovoltaic Topology Optimization

Glen S. Uehara, Vivek Narayanaswamy, Cihan Tepedelenlioglu, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Photovoltaic array topology optimization was shown to improve efficiency in renewable energy plants. Previous studies demonstrated improvements via simulation at the level of 7-12% or more. In this paper, we describe solar array topology optimization systems based on quantum machine learning algorithms. The idea of using quantum machine learning can be useful in cases where the objective is to optimize power output in large sites with several thousands of panels. We specifically propose and assess a quantum circuit for a neural network implementation for photovoltaic topology optimization. Results and comparisons are presented using classical and quantum neural network implementations. In addition, solar array topology optimization simulations and comparisons using a quantum neural network are described for different numbers of qubits.

Original languageEnglish (US)
Title of host publication13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665463904
DOIs
StatePublished - 2022
Event13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022 - Corfu, Greece
Duration: Jul 18 2022Jul 20 2022

Publication series

Name13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022

Conference

Conference13th International Conference on Information, Intelligence, Systems and Applications, IISA 2022
Country/TerritoryGreece
CityCorfu
Period7/18/227/20/22

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software
  • Information Systems and Management
  • Control and Optimization
  • Communication

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