Solar Irradiance Prediction in the Amazon Basin Using Machine Learning: A Sustainable Approach for Renewable Energy Expansion

Shivani Vats, Deepika

doi:10.52783/eel.v14i2.1739

ScienceGate Book Chapters

JOURNAL ARTICLE

Solar Irradiance Prediction in the Amazon Basin Using Machine Learning: A Sustainable Approach for Renewable Energy Expansion

Shivani Vats, Deepika

Year: 2024

DOI: 10.52783/eel.v14i2.1739

Get Full-Text PDF Get Analytical Report

Keywords:

Renewable energy Irradiance Amazon rainforest Solar irradiance Amazon basin Sustainable energy Environmental science Solar energy Structural basin Computer science Engineering Geology Geography Meteorology Physics Electrical engineering Ecology Optics Geomorphology

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.10

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Solar Irradiance Prediction in the Amazon Basin Using Machine Learning: A Sustainable Approach for Renewable Energy Expansion

Metrics

Topics

Related Documents

Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan

Renewable Energy Prediction Using Fuzzy-MCDM and Machine Learning Techniques: A Sustainable Approach

Machine Learning-Based Solar Irradiance Prediction for Energy Management

Solar Irradiance Prediction Using Transformer-based Machine Learning Models

SOLAR IRRADIANCE PREDICTION USING BAGGING DECISION TREE-BASED MACHINE LEARNING