AI-Powered Renewable Energy Solutions

Authors

  • Chris Edwards PhD
  • Quinn Clark Dr.
  • Morgan Robinson Prof.

Keywords:

Renewable Energy, AI, Machine Learning, Grid Efficiency, Sustainability

Abstract

This paper examines the role of artificial intelligence in optimizing renewable energy solutions. AI technologies are being used to predict energy production, manage resources, and improve grid efficiency. Our research highlights the integration of machine learning algorithms in solar and wind energy systems, demonstrating significant improvements in efficiency and cost-effectiveness. We propose strategies for further AI integration to support global renewable energy initiatives.

Author Biographies

Chris Edwards, PhD

PhD
University of Lisbon
Alameda da Universidade, 1649-004 Lisboa, Portugal

Quinn Clark, Dr.

Dr.
National Technical University of Athens
9 Iroon Polytechneiou St, Zografou 157 80, Greece

Morgan Robinson, Prof.

Prof.
University of Chile
Av. Libertador Bernardo O'Higgins 1058, Santiago, Chile

References

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

Рагимов, Э. Р. О. (2011). Метрология элементов безопасности программных комплексов, реализующих систему защиты информации корпоративных сетей. Вопросы защиты информации, (2), 36-41.

Published

2024-12-24

Issue

Section

Articles