Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting

F Harrou, Y Sun, B Taghezouit, A Dairi - Energies, 2023 - mdpi.com
Solar Photovoltaic (PV) systems represent key and transformative technology at the forefront
of the global shift towards sustainable energy solutions. These systems harness the …

Improved semi-supervised data-mining-based schemes for fault detection in a grid-connected photovoltaic system

B Bouyeddou, F Harrou, B Taghezouit, Y Sun… - Energies, 2022 - mdpi.com
Fault detection is a necessary component to perform ongoing monitoring of photovoltaic
plants and helps in their safety, maintainability, and productivity with the desired …

[HTML][HTML] A Photovoltaic Prediction Model with Integrated Attention Mechanism

X Lei - Mathematics, 2024 - mdpi.com
Solar energy has become a promising renewable energy source, offering significant
opportunities for photovoltaic (PV) systems. Accurate and reliable PV generation forecasts …

Automatic fault detection in grid-connected photovoltaic systems via variational autoencoder-based monitoring

F Harrou, A Dairi, B Taghezouit, B Khaldi… - Energy Conversion and …, 2024 - Elsevier
Anomaly detection is indispensable for ensuring the reliable operation of grid-connected
photovoltaic (PV) systems. This study introduces a semi-supervised deep learning approach …

Intelligent Monitoring of Photovoltaic Systems via Simplicial Empirical Models and Performance Loss Rate Evaluation under LabVIEW: A Case Study

B Taghezouit, F Harrou, C Larbes, Y Sun, S Semaoui… - Energies, 2022 - mdpi.com
The capacity of photovoltaic solar power installations has been boosted last years by
reaching a new record with 175 GWdc of newly installed solar power in 2021. To guarantee …

Parameter Estimation and Preliminary Fault Diagnosis for Photovoltaic Modules Using a Three-Diode Model

CM Huang, SJ Chen, SP Yang, YC Huang, PY Huang - Energies, 2024 - mdpi.com
Accurate estimation of photovoltaic (PV) power generation can ensure the stability of
regional voltage control, provide a smooth PV output voltage and reduce the impact on …

Efficient maximum power point extraction using hybrid optimisation based parameter estimation model of solar double diode model

Karambir, AK Yadav, C Madan - Australian Journal of Electrical and …, 2024 - Taylor & Francis
ABSTRACT PV systems operate most efficiently when they are operated at their Maximum
Power Point (MPP). Despite the wide range of MPPT approaches available, there is …

Parameters Estimation of PV Modules for a Three-Diode Model Using an Enhanced Salp Swarm Algorithm

CM Huang, YC Huang, SJ Chen… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The internal parameters for solar cells may change over a period of operation, which must
be re-estimated to produce power output close to the actual value. This paper proposes an …

Research on Control of Photovoltaic Grid Connected Inverter Based on Filter of LCL

B Wang, P Zhao, S Wang - International Conference on Computer …, 2022 - Springer
New energy is gradually becoming an important deployment direction of China's energy
strategy. With the reduction of non renewable energy, the demand for renewable energy is …

Medium and Long-Term Photovoltaic Power Generation Forecasting Model Based on Elman Neural Network Optimized by Vortex Search Algorithm

A Han, T Liu, Z Wei, X Teng - 2023 IEEE 14th International …, 2023 - ieeexplore.ieee.org
The medium and long-term photovoltaic power generation forecasting model aased on
Elman neural network optimized by vortex search algorithm is proposed in this paper. Elman …