Review on the application of photovoltaic forecasting using machine learning for very short-to long-term forecasting

PNL Mohamad Radzi, MN Akhter, S Mekhilef… - Sustainability, 2023 - mdpi.com
Advancements in renewable energy technology have significantly reduced the consumer
dependence on conventional energy sources for power generation. Solar energy has …

Systematic review on impact of different irradiance forecasting techniques for solar energy prediction

K Sudharshan, C Naveen, P Vishnuram… - Energies, 2022 - mdpi.com
As non-renewable energy sources are in the verge of exhaustion, the entire world turns
towards renewable sources to fill its energy demand. In the near future, solar energy will be …

BBNSF: Blockchain-Based Novel Secure Framework Using RP2-RSA and ASR-ANN Technique for IoT Enabled Healthcare Systems

M Kumar, P Mukherjee, S Verma, Kavita, M Kaur… - Sensors, 2022 - mdpi.com
The wearable healthcare equipment is primarily designed to alert patients of any specific
health conditions or to act as a useful tool for treatment or follow-up. With the growth of …

Historical PV-output characteristic extraction based weather-type classification strategy and its forecasting method for the day-ahead prediction of PV output

L Zheng, R Su, X Sun, S Guo - Energy, 2023 - Elsevier
With photovoltaic (PV) penetration increasing, PV-output prediction has become a research
hotspot. Due to the close correlation between PV-output fluctuation and weather conditions …

A novel solar power prediction model based on stacked BiLSTM deep learning and improved extreme learning machine

D El Bourakadi, H Ramadan, A Yahyaouy… - International Journal of …, 2023 - Springer
Photovoltaic (PV) energy is a renewable and permanent source of electricity available all the
time. Nowadays, the solar energy integration presents an active research area due to its …

[HTML][HTML] Advancing renewable energy forecasting: A comprehensive review of renewable energy forecasting methods

R Teixeira, A Cerveira, EJS Pires, J Baptista - Energies, 2024 - mdpi.com
Socioeconomic growth and population increase are driving a constant global demand for
energy. Renewable energy is emerging as a leading solution to minimise the use of fossil …

Hybrid approaches based on Singular Spectrum Analysis and k-Nearest Neighbors for clearness index forecasting

GS Martins, M Giesbrecht - Renewable Energy, 2023 - Elsevier
With the increase in solar energy penetration in electric power systems, it is necessary to
predict future solar radiation. With this, the solar power generation capacity can be …

Vision transformer-based photovoltaic prediction model

Z Kang, J Xue, CS Lai, Y Wang, H Yuan, F Xu - Energies, 2023 - mdpi.com
Sensing the cloud movement information has always been a difficult problem in photovoltaic
(PV) prediction. The information used by current PV prediction methods makes it challenging …

基于改进VMD 和SNS-Attention-GRU 的短期光伏发电功率预测

李宏扬, 高丙朋 - 太阳能学报, 2023 - epjournal.csee.org.cn
针对光伏发电系统预测精度不高等问题, 建立以门控循环单元(GRU) 为基础的预测模型.
使用社交网络搜索算法(social network search) 和注意力机制(attention) 相结合对构建的门控 …

Adaptive masked network for ultra-short-term photovoltaic forecast

Q Ma, X Fu, Q Yang, D Qiu - Engineering Applications of Artificial …, 2025 - Elsevier
In recent years, power grid companies have faced increasingly stringent requirements for
accurate prediction of photovoltaic (PV) power generation with the rapid development of PV …