Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey

HA Akıncı, H Akıncı - Earth Science Informatics, 2023 - Springer
This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …

[HTML][HTML] Machine learning algorithms for solar irradiance prediction: a recent comparative study

Z Allal, HN Noura, K Chahine - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
Photovoltaic panels have emerged as a promising technology to generate renewable
energy and reduce the dependence on fossil fuels by harnessing solar radiation and …

Comparison of ground-based global horizontal irradiance and direct normal irradiance with satellite-based suny model

A Ayaz, F Ahmad, MAA Irfan, Z Rehman, K Rajski… - Energies, 2022 - mdpi.com
Since the fossil reserves are depleting day by day, the trend of modern energy sector is
going towards renewable energy. The demand of solar power plants is therefore at the peak …

[PDF][PDF] Assessment of the Solar Energy Potential in the Romanian Nearshore

M Fratita, F Popescu, E Rusu - Journal of Marine Technology and …, 2022 - jmte.eu
In December 2019, the first official European Green Deal document was released, which
aims to reduce greenhouse gas emissions gradually by 2050, when the carbon neutrality …

Performance evaluation of newly developed generalized correlations for the prediction of solar diffuse fraction for various climatic regions

M Sumair, T Aized, MMA Bhutta… - Journal of Solar …, 2023 - asmedigitalcollection.asme.org
The objective of this work is to develop empirical correlations describing diffuse fraction (DF)
as a function of (1) sunshine fraction (SF),(2) clearness index (CI), and (3) both SF and CI …

Redesain Sistem Pendingin Permukaan Panel Surya dengan Menggunakan Water Spray

KAW Putra - 2024 - repository.pnb.ac.id
Energi matahari adalah salah satu sumber energi terbarukan yang potensial untuk
dikembangkan di Indonesia, mengingat kondisi geografisnya yang ada di garis khatulistiwa …