专题：Solar Radiation and Photovoltaics

This cluster of papers focuses on the application of machine learning methods, particularly artificial neural networks, for forecasting solar radiation and photovoltaic power generation. It covers topics such as solar energy integration, grid-connected PV plant performance prediction, solar position algorithms, and GIS-based site selection for solar farms.
最新文献
TSBMNet-XAI interpretable multi-step offshore wind power forecasting for enhanced energy storage integration

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Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks

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PowerMistral: A data-efficient wind power forecasting framework leveraging pre-trained large language models

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Hybrid Machine Learning Approach for Enhanced Fault Detection and Power Estimation in Photovoltaic Systems

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Feature selection and hyperparameter tuning in transformer-based deep learning models for photovoltaic power forecasting using the Swordfish Movement Optimization Algorithm (SMOA)

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Patch Time Series Transformer−Based Short−Term Photovoltaic Power Prediction Enhanced by Artificial Fish

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CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting

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Systematic evaluation of transformer-based time series forecasting models for post-processing WRF-simulated wind speed and predicting short-term power output

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Foundation models for clean energy forecasting: A comprehensive review

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The role of offshore wind and solar PV resources in global low-carbon transition

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近5年高被引文献
International Journal of Renewable Energy Research

paratext Full Text OpenAlex 763 FWCI0

Solar energy status in the world: A comprehensive review

article Full Text OpenAlex 497 FWCI43.1621

Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction

article Full Text OpenAlex 495 FWCI29.3269

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production

article Full Text OpenAlex 418 FWCI26.2737

COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications

article Full Text OpenAlex 395 FWCI28.7678

Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features

article Full Text OpenAlex 393 FWCI28.6369

Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects

article Full Text OpenAlex 381 FWCI27.7482

Accurate one step and multistep forecasting of very short-term PV power using LSTM-TCN model

article Full Text OpenAlex 364 FWCI31.6117

A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality

article Full Text OpenAlex 340 FWCI20.6448

The environmental factors affecting solar photovoltaic output

article Full Text OpenAlex 339 FWCI49.6394