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REST2: High-performance solar radiation model for cloudless-sky irradiance, illuminance, and photosynthetically active radiation – Validation with a benchmark dataset
Are There Other Factors Besides Meteorological Variables to Consider When Forecasting Photovoltaic Power? A Comparative Analysis Using Machine Learning Models
A Comparative Analysis of Artificial Neural Network Algorithms to Enhance the Power Quality of Photovoltaic Distributed Generation System Based on Metrological Parameters
Enhanced photovoltaic power generation forecasting for newly-built plants via Physics-Infused transfer learning with domain adversarial neural networks
Historical PV-output characteristic extraction based weather-type classification strategy and its forecasting method for the day-ahead prediction of PV output
Combining meteorological and power information of station-measurement and model-prediction with the hybrid CNN-Transformer and CNN-BiLSTM for ultra-short-term photovoltaic power forecasting
SFNAS-DDPG: A Biomass-Based Energy Hub Dynamic Scheduling Approach via Connecting Supervised Federated Neural Architecture Search and Deep Deterministic Policy Gradient
A Novel Improved Variational Mode Decomposition-Temporal Convolutional Network-Gated Recurrent Unit with Multi-Head Attention Mechanism for Enhanced Photovoltaic Power Forecasting
Impact on Predictive Performance of Air Pollutants in PV Forecasting Using Multi-Model Ensemble Learning: Evidence from the Port Logistics Hinterland Area
Deep-RNN based model for short-time forecasting photovoltaic power generation using IoT
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