A review of distributed solar forecasting with remote sensing and deep learning

Y Chu, Y Wang, D Yang, S Chen, M Li - Renewable and Sustainable …, 2024 - Elsevier
The rapidly growing capacity of globally distributed solar generation systems (DSGs) has
imposed new challenges for solar forecasting research: the need for high-fidelity spatial …

Global horizontal irradiance prediction model considering the effect of aerosol optical depth based on the Informer model

G Xiu-Yan, L Jie-Mei, Y Yuan, T He-Ping - Renewable Energy, 2024 - Elsevier
Accurate and reliable global horizontal irradiance (GHI) prediction helps respond to the
volatility of solar power output in advance. Aerosol optical depth (AOD) is the primary factor …

Quantitation of the Surface Shortwave and Longwave Radiative Effect of Dust with an Integrated System: A Case Study at Xianghe

M Liu, H Shi, J Song, D Fu - Sensors, 2024 - mdpi.com
Aerosols play a crucial role in the surface radiative budget by absorbing and scattering both
shortwave and longwave radiation. While most aerosol types exhibit a relatively minor …

Global horizontal irradiance prediction model for multi-site fusion under different aerosol types

XY Gao, CL Huang, ZH Zhang, QX Chen, Y Zheng… - Renewable Energy, 2024 - Elsevier
Accurate prediction of global horizontal irradiance (GHI) is crucial for anticipating the
volatility of solar power output. Under clear-sky conditions, aerosols play a significant role in …

Evaluation of Two Satellite Surface Solar Radiation Products in the Urban Region in Beijing, China

L Xu, Y Mao - Remote Sensing, 2024 - mdpi.com
Surface solar radiation, as a primary energy source, plays a pivotal role in governing land–
atmosphere interactions, thereby influencing radiative, hydrological, and land surface …

Validating Meteosat Second Generation and Himawari-8 Derived Solar Irradiance against Ground Measurements: Solarad AI's Approach

JK Meher, SHA Rizvi, B Choudhary, R Choudhary… - Energies, 2024 - mdpi.com
This study assesses the efficacy of the Heliosat-2 algorithm for estimating solar radiation,
comparing its outputs against ground measurements across seven distinct countries: the …

[HTML][HTML] Probabilistic forecasting of regional solar power incorporating weather pattern diversity

HH Huang, YH Huang - Energy Reports, 2024 - Elsevier
Power grid stability depends on the ability to forecast solar power generation at the regional
level. Most previous research on probabilistic forecasting has focused on the use of machine …

Spatio-Temporal Correlation-Based Surface Solar Irradiance Retrieval Approach Using Satellite Data Under Different Weather Conditions

N Li, Z Zhen, F Wang - Available at SSRN 4832943, 2030 - papers.ssrn.com
Wide-area, high temporal-spatial resolution surface solar irradiance data (SSI) is critical for
solar energy resource assessment, PV power station site selection, and PV power …

Validation of Ground Based Solar Irradiance Measurements against Meteosat-Msg and Himawari-8 Satellite Data

JK Meher, SHA Rizvi, B Choudhary, R Choudhary… - 2024 - preprints.org
The study conducts a comparative analysis of solar radiation estimation methods, assessing
the efficacy of the Heliosat-2 algorithm against ground measurements across seven distinct …

Regional Pv Power Forecasting Based on Transfer Learning and Satellite Cloud Imagery

Y Xie, J Zheng, F Mei, D Hulak, A Gao… - Available at SSRN … - papers.ssrn.com
As renewable energy, particularly regional photovoltaic (PV), becomes more prevalent in the
power grid, accurate forecasting of its output is paramount for its efficient operation …