Enhancing PV power forecasting with deep learning and optimizing solar PV project performance with economic viability: A multi-case analysis of 10 MW Masdar project in UAE
Muhammad Faizan Tahir(New York University Abu Dhabi), Muhammad Zain Yousaf(University of Sargodha), Anthony Tzes(New York University Abu Dhabi)
Cited by 51
Related Papers
Enhanced solar photovoltaic power prediction using diverse machine learning algorithms with hyperparameter optimization
|Renewable and Sustainable Energy Reviews|2024|87
A novel dc fault protection scheme based on intelligent network for meshed dc grids
|International Journal of Electrical Power & Energy Systems|2023|84
Robust fault detection and classification in power transmission lines via ensemble machine learning models
|Scientific Reports|2025|70
Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems
|Sensors|2022|54
Bayesian-optimized LSTM-DWT approach for reliable fault detection in MMC-based HVDC systems
|Scientific Reports|2024|50