Improving solar PV prediction performance with RF-CatBoost ensemble: a robust and complementary approach

R Banik, A Biswas - Renewable Energy Focus, 2023 - Elsevier
Although solar energy is renewable, environmental conditions can make it unpredictable,
which makes it difficult to maintain a consistent supply of electricity. Accurate solar forecast …

Enhancing photovoltaic system modeling and control under partial and complex shading conditions using a robust hybrid DE-FFNN MPPT strategy

N Ncir, N El Akchioui, A El Fathi - Renewable Energy Focus, 2023 - Elsevier
Improving efficiency, reliability, and extending the life of Photovoltaic (PV) systems are some
essential benefits of developing an effective Maximum Power Point Tracking (MPPT) control …

Harnessing a better future: exploring AI and ML applications in renewable energy

TH Nguyen, P Paramasivam, HC Le… - JOIV: International Journal …, 2024 - joiv.org
Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy
sources, including biomass, biofuels, engines, and solar power, can revolutionize the …

[HTML][HTML] Enhanced fault detection in photovoltaic panels using cnn-based classification with pyqt5 implementation

Y Ledmaoui, A El Maghraoui, M El Aroussi, R Saadane - Sensors, 2024 - mdpi.com
Solar photovoltaic systems have increasingly become essential for harvesting renewable
energy. However, as these systems grow in prevalence, the issue of the end of life of …

Comprehensive analysis of solar panel performance and correlations with meteorological parameters

P Sarmah, D Das, M Saikia, V Kumar, SK Yadav… - ACS …, 2023 - ACS Publications
To mitigate the adverse effects of fossil fuel-based energy, mankind is in constant search of
clean and cost-effective sources of energy, such as solar energy. The economic viability of a …

Wind turbine and PV power prediction using a deterministic data-driven model with variational mode decomposition preprocessing

S El Bakali, H Ouadi… - Transactions of the …, 2024 - journals.sagepub.com
This study develops a method for accurately forecasting solar radiation (SR), wind speed
(WS), and air temperature (AT) for the coming 24 hours in order to predict energy production …

[HTML][HTML] An Enhanced Forecasting Method of Daily Solar Irradiance in Southwestern France: A Hybrid Nonlinear Autoregressive with Exogenous Inputs with Long …

O Isman Okieh, S Seker, S Gokce, M Dennenmoser - Energies, 2024 - mdpi.com
The increasing global reliance on renewable energy sources, particularly solar energy,
underscores the critical importance of accurate solar irradiance forecasting. As solar …

Research on applying machine learning models to predict the electricity generation capacity of rooftop solar energy systems on buildings

VHS Pham, HD Tran - Asian Journal of Civil Engineering, 2023 - Springer
During the current process of constructing and developing infrastructure systems,
constructing energy-efficient buildings is highly advantageous thanks to the readily available …

Renewable energy and carbon-neutral gaming: A holistic approach to sustainable electricity

CC Lee, J Hussain, X Mu - Energy, 2024 - Elsevier
Carbon emissions are a global issue around the world due to energy consumption, and to
resolve this, increasing focus has been placed on attaining carbon neutrality. This research …

Enhancing indoor thermal comfort and energy efficiency: A comparative study of RC-PCM Trombe wall performance

H Liu, Q Tan, Y Shi, B Yu, M Zhang - Renewable Energy, 2024 - Elsevier
In response to the issue of excessive heating during summer in traditional Trombe walls, this
study proposes a novel system called RC-PCM Trombe walls, which utilizes radiation …