Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage
ADA Bin Abu Sofian, HR Lim… - Sustainable …, 2024 - Wiley Online Library
This article evaluates the present global condition of solar and wind energy adoption and
explores their benefits and limitations in meeting energy needs. It examines the historical …
explores their benefits and limitations in meeting energy needs. It examines the historical …
Prediction of voltage sag relative location with data-driven algorithms in distribution grid
Power quality (PQ) problems, including voltage sag, flicker, and harmonics, are the main
concerns for the grid operator. Among these disturbances, voltage sag, which affects the …
concerns for the grid operator. Among these disturbances, voltage sag, which affects the …
Prediction of Solar Energy Yield Based on Artificial Intelligence Techniques for the Ha'il Region, Saudi Arabia
In order to satisfy increasing energy demand and mitigate global warming worldwide, the
implementation of photovoltaic (PV) clean energy installations needs to become common …
implementation of photovoltaic (PV) clean energy installations needs to become common …
IoT system for gluten prediction in flour samples using nirs technology, Deep and Machine Learning Techniques
O Jossa-Bastidas, AO Sanchez, L Bravo-Lamas… - Electronics, 2023 - mdpi.com
Gluten is a natural complex protein present in a variety of cereal grains, including species of
wheat, barley, rye, triticale, and oat cultivars. When someone suffering from celiac disease …
wheat, barley, rye, triticale, and oat cultivars. When someone suffering from celiac disease …
Detecting broken receiver tubes in CSP plants using intelligent sampling and dual loss
Concentrated solar power (CSP) is one of the growing technologies that is leading the
process of change from fossil fuels to renewable energies for electricity production. The …
process of change from fossil fuels to renewable energies for electricity production. The …
Comparison Analysis of Classification Model Performance in Lung Cancer Prediction Using Decision Tree, Naive Bayes, and Support Vector Machine
D Widyawati, A Faradibah… - Indonesian Journal of …, 2023 - jurnal.yoctobrain.org
This research aims to analyze the performance of three classification models, namely
Decision Tree Classifier, Support Vector Machine, and Naive Bayes Classifier, in predicting …
Decision Tree Classifier, Support Vector Machine, and Naive Bayes Classifier, in predicting …
[HTML][HTML] Three novel machine learning-based adaptive controllers for a photovoltaic shunt active power filter performance enhancement
AA Jai, M Ouassaid - Scientific African, 2024 - Elsevier
This study develops three new machine learning-based algorithms using the SVR prediction
approach. The overall objective is to enhance the performance of the PV shunt active power …
approach. The overall objective is to enhance the performance of the PV shunt active power …
Using Machine Learning for Analysis a Database Outdoor Monitoring of Photovoltaic System
H Hafdaoui, S Bouchakour… - International Journal of …, 2022 - publisher.uthm.edu.my
: In this paper we propose a new method for analyzing the performance of photovoltaic
system using classification, the monitoring of photovoltaic module (150 W) was controlled …
system using classification, the monitoring of photovoltaic module (150 W) was controlled …
A Fault and Capacity Loss Prediction Method of Wind Power Station under Extreme Weather
L Li, Y Zhuo, W Meng, Z Chen… - Mathematical Problems in …, 2023 - Wiley Online Library
Extreme weather events can severely affect the operation and power generation of wind
farms and threaten the stability and safety of grids with high penetration of renewable …
farms and threaten the stability and safety of grids with high penetration of renewable …
Clasificación de la ocupación espectral para la toma de decisiones en redes inalámbricas cognitivas implementando extracción de características y aprendizaje …
DA Giral-Ramírez, CA Hernández… - Información …, 2022 - SciELO Chile
Este estudio analiza la clasificación de la ocupación espectral para la toma de decisiones a
través de la implementación de la extracción de características y de reglas de clasificación …
través de la implementación de la extracción de características y de reglas de clasificación …