TL;DR
This study utilizes six years of meteorological data from Duzce to predict solar energy output using 14 machine learning (ML) algorithms and contributes to artificial intelligence by advancing ML-based forecasting methods and supports engineering practices by optimizing PV system management.
Reliable photovoltaic power prediction is increasingly important for integrating variable solar generation into modern electricity systems, yet many operational installations have only limited historical data. This study developed a data-efficient, explainable, and uncertainty-aware machine-learning framework using 412...
Accurate prediction of photovoltaic (PV) power is essential for effective monitoring, control, and grid integration of large-scale solar systems. This study uses high-resolution data from a 20 MW utility-scale PV plant to benchmark four advanced machine learning (ML) models: Support Vector Machine (SVM), Random Forest...
The transition toward renewable energy integration in power systems presents challenges in managing photovoltaic (PV) power output owing to variations in operating conditions. This study evaluated the performance of K-Nearest Neighbor (KNN), Support Vector Regression (SVR), and Multi-Layer Perceptron (MLP), with and wi...
This study demonstrates the effectiveness of gradient boosting models and neural networks for accurately forecasting solar production in Meknes, thus offering promising prospects for the deployment of solar solutions in Morocco.
Accurate prediction of the Performance Ratio (PR) of photovoltaic (PV) systems in complex mountainous terrain is critical for bankable project planning. However, fixed-PR assumptions systematically underestimate the influence of local topography and tropical microclimates. This study integrates drone-captured micro-top...
The integration of sustainable energy into atmospheric water harvesting offers a promising solution for supplementary water supply in off-grid and dry regions. This study investigates the performance of a hybrid photovoltaic–atmospheric water generator (PV-AWG) system and evaluates machine learning (ML) models for pred...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
