AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
The need for accurate solar energy forecasting is paramount as the global push towards renewable energy intensifies. We aimed to provide a comprehensive analysis of the latest advancements in solar energy forecasting, focusing on Machine Learning (ML) and Deep Learning (DL) techniques. The novelty o...
Saved in:
Main Authors: | Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-09-01
|
Series: | AIMS Geosciences |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/geosci.2024035 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models
by: Ibrahim Abdulwahab, et al.
Published: (2024-07-01) -
Solar Irradiance Ramp Classification Using the IBEDI (Irradiance-Based Extreme Day Identification) Method
by: Llinet Benavides Cesar, et al.
Published: (2025-01-01) -
A Novel AI-Based Integrated Cybersecurity Risk Assessment Framework and Resilience of National Critical Infrastructure
by: Sardar Muhammad Ali, et al.
Published: (2025-01-01) -
Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
by: Mohammed Almehdhar, et al.
Published: (2024-01-01) -
Analysis of graphene coatings on various metallic/oxide crystal/composite material substrates using machine learning for enhanced solar thermal energy conversion
by: Khaled Aliqab, et al.
Published: (2025-02-01)