AI-Driven Optimization of Renewable Energy Systems

Authors

  • Drew Walker
  • Adrian Roberts
  • Quinn Smith

Keywords:

Artificial Intelligence, Renewable Energy, Energy Efficiency, Optimization, Sustainability

Abstract

This paper explores the use of artificial intelligence to optimize the performance of renewable energy systems. By leveraging AI algorithms, the study aims to enhance energy efficiency and reduce operational costs. The research includes simulations and real-world implementations, highlighting AI's role in advancing sustainable energy solutions.

Author Biographies

Drew Walker

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

Adrian Roberts

PhD
Delft University of Technology
Mekelweg 5, 2628 CD Delft, Netherlands

Quinn Smith

PhD
Princeton University
Princeton, NJ 08544, USA

References

Kumar, N., & Kataria, V. (2025). Unpacking the Emotional Landscape of Reviews: Sentiment-Augmented Topic Modeling with Transformer Embeddings.

Downloads

Published

2025-12-25

Issue

Vol. 3 No. 4 (2025)

Section

Articles