Photovoltaic power forecasting: A hybrid deep learning model incorporating transfer learning strategy
Y Tang, K Yang, S Zhang, Z Zhang - Renewable and Sustainable Energy …, 2022 - Elsevier
Accurate forecasting of photovoltaic power is essential in the integration, operation, and
scheduling of hybrid grid systems. In particular, modeling for newly built photovoltaic sites is …
scheduling of hybrid grid systems. In particular, modeling for newly built photovoltaic sites is …
Digital twin integration with data fusion for enhanced photovoltaic system management: a systematic literature review
The integration of Digital Twin (DT) technology into the photovoltaic (PV) sector represents a
significant advancement in energy management, optimization, servicing, and maintenance …
significant advancement in energy management, optimization, servicing, and maintenance …
Solar photovoltaic power forecasting system with online manner based on adaptive mode decomposition and multi-objective optimization
S Li, J Wang, H Zhang, Y Liang - Computers and Electrical Engineering, 2024 - Elsevier
Constructing an accurate and reliable solar photovoltaic (PV) power forecasting system is
crucial for smart grid management and dispatch. However, due to the intermittent, non …
crucial for smart grid management and dispatch. However, due to the intermittent, non …
Photovoltaic power forecasting: A dual-attention gated recurrent unit framework incorporating weather clustering and transfer learning strategy
Y Tang, K Yang, S Zhang, Z Zhang - Engineering Applications of Artificial …, 2024 - Elsevier
Accurate forecasting of photovoltaic power is essential in the integration, operation, and
scheduling of hybrid energy systems. However, modeling for newly built photovoltaic sites is …
scheduling of hybrid energy systems. However, modeling for newly built photovoltaic sites is …
Unravelling the chloride dopant induced film improvement in all-inorganic perovskite absorbers
S Nicholson, J Bruckbauer, PR Edwards… - Journal of Materials …, 2024 - pubs.rsc.org
CsPbI2Br perovskite material has been the focus of much recent research, thanks to its
improved stability over CsPbI3, useful bandgap of 1.9 eV and enhanced thermal stability …
improved stability over CsPbI3, useful bandgap of 1.9 eV and enhanced thermal stability …
Short-term distributed photovoltaic power prediction based on temporal self-attention mechanism and advanced signal decomposition techniques with feature fusion
H Lin, L Gao, M Cui, H Liu, C Li, M Yu - Energy, 2025 - Elsevier
With the increasing number of distributed photovoltaic (DPV) power plants, their power
prediction has become increasingly important for grid stability and energy efficiency …
prediction has become increasingly important for grid stability and energy efficiency …
An adaptive approach-based ensemble for 1 day-ahead production prediction of solar PV systems
The world is becoming more reliant on renewable energy sources to satisfy its growing
energy demand. The primary disadvantage of such sources is their significant uncertainty in …
energy demand. The primary disadvantage of such sources is their significant uncertainty in …
[PDF][PDF] 基于气候特征分析及改进XGBoost 算法的中长期光伏电站发电量预测方法
李永飞， 张耀， 林帆， 赵英杰， 陈宇轩… - 电力系统保护与 …, 2024 - epjournal.csee.org.cn
光伏发电在能源结构中的重要性不断凸显, 而提高光伏发电量预测的准确性成为当前研究的关键
问题. 针对中长期光伏发电量预测问题, 提出一个综合利用气候预测数据的中长期光伏发电量 …
问题. 针对中长期光伏发电量预测问题, 提出一个综合利用气候预测数据的中长期光伏发电量 …
[HTML][HTML] Accurate Method for Solar Power Generation Estimation for Different PV (Photovoltaic Panels) Technologies
In 2023, solar photovoltaic energy alone accounted for 75% of the global increase in
renewable capacity. Moreover, this natural energy resource is the one that requires the least …
renewable capacity. Moreover, this natural energy resource is the one that requires the least …
An approach to solar radiation prediction using ARX and ARMAX models
VLG Silva, D Oliveira Filho, JC Carlo… - Frontiers in Energy …, 2022 - frontiersin.org
In recent years, Brazilian meteorological networks have introduced numerous automatic
stations to monitor global solar radiation at hourly intervals. Historically, large-scale climate …
stations to monitor global solar radiation at hourly intervals. Historically, large-scale climate …