Formosa Journal of Computer and Information Science
Vol. 3 No. 2 (2024): August 2024

Data Science in Solar and Wind Energy Optimization: A Review

Mahjabeen, Farhana (Unknown)



Article Info

Publish Date
02 Oct 2024

Abstract

This article explores the transformative role of artificial intelligence in optimizing solar and wind energy systems. Harvard researchers leverage extensive datasets and Microsoft Azure to analyze complex interactions between various signals, exceeding human capabilities. The article examines how AI enhances operational efficiency, stability, and sustainability of renewable energy systems, delving into fundamental AI applications and data science techniques. It further explores emerging trends like deploying advanced AI algorithms on energy grids. The research also analyzes the economic and environmental impacts of AI on renewable energy, addressing challenges such as economic barriers and regulatory frameworks. Finally, it discusses relevant regulations and standards for AI-powered renewable energy, considering diverse stakeholder perspectives

Copyrights © 2024






Journal Info

Abbrev

fjcis

Publisher

Subject

Computer Science & IT

Description

Formosa Journal of Computer and Information Science (FJCIS) is an international platform for scientists, academics, practitioners and engineers involved in all aspects of computer science and information sciences to publish high quality, up todate, peer review papers. It is an international research ...