Optimization of Renewable Energy Systems Using Computational Methods

Authors

  • Adrian Garcia
  • Dana King
  • Drew Garcia

Keywords:

Renewable Energy, Optimization, Computational Methods, Sustainability, Efficiency

Abstract

This study investigates the optimization of renewable energy systems through advanced computational methods. By applying algorithms and models, researchers aim to enhance the efficiency and reliability of renewable energy sources. The paper discusses the integration of computational techniques in the design and management of energy systems, showcasing significant improvements in performance. The findings reveal the potential for computational methods to drive innovation in renewable energy, contributing to sustainable development and energy security.

Author Biographies

Adrian Garcia

PhD
Technical University of Denmark
Anker Engelunds Vej 1, 2800 Kongens Lyngby, Denmark

Dana King

PhD
Indian Institute of Technology Bombay
Powai, Mumbai, Maharashtra 400076, India

Drew Garcia

PhD
Politecnico di Milano
Piazza Leonardo da Vinci, 32, 20133 Milano MI, Italy

References

Kumar, N., & Kataria, V. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

Искендерзаде, Э. Б. О., Рагимов, Э. Р. О., & Джейхун, Р. (2024). НОВЫЕ КРИТЕРИИ ОЦЕНКИ ЭМИССИИ С И СО2 В ВОЗДУХ АВТОМОБИЛЬНЫМ ТРАНСПОРТОМ. Природные системы и ресурсы, 14(2), 47-54.

Рагимов, Э. Р. О. (2012). Методология оптимальной идентификации расположения программных единиц в комплексе безопасных программ, реализующих систему защиты информации корпоративной сети. Вопросы защиты информации, (1), 51-57.

Published

2024-12-25

Issue

Section

Articles