[HTML][HTML] Enhancing solar power efficiency: Smart metering and ANN-based production forecasting
Y Ledmaoui, A El Fahli, A El Maghraoui, A Hamdouchi… - Computers, 2024 - mdpi.com
This paper presents a comprehensive and comparative study of solar energy forecasting in
Morocco, utilizing four machine learning algorithms: Extreme Gradient Boosting (XGBoost) …
Morocco, utilizing four machine learning algorithms: Extreme Gradient Boosting (XGBoost) …
Practical implementation based on histogram of oriented gradient descriptor combined with deep learning: Towards intelligent monitoring of a photovoltaic power …
The increasing complexity of photovoltaic (PV) system monitoring underscores the
importance of precise fault detection and energy loss prediction. This paper proposes a …
importance of precise fault detection and energy loss prediction. This paper proposes a …
[HTML][HTML] Convolutional neural networks and Internet of Things for fault detection by aerial monitoring of photovoltaic solar plants
IS Ramírez, FPG Márquez, JP Chaparro - Measurement, 2024 - Elsevier
Aerial thermographic inspection is performed with thermal cameras embedded in unmanned
aerial vehicles, being one of the most relevant monitoring techniques for photovoltaic …
aerial vehicles, being one of the most relevant monitoring techniques for photovoltaic …
PV solar anomaly detection using low-cost data logger and ANN algorithm
Y Ledmaoui, A El Maghraoui… - TELKOMNIKA …, 2024 - telkomnika.uad.ac.id
This paper presents an innovative edge device architecture that significantly enhances solar
energy management systems. By integrating advanced functionalities such as generation …
energy management systems. By integrating advanced functionalities such as generation …