FCDT-IWBOA-LSSVR: An innovative hybrid machine learning approach for efficient prediction of short-to-mid-term photovoltaic generation
L Liang, T Su, Y Gao, F Qin, M Pan - Journal of Cleaner Production, 2023 - Elsevier
The short-term photovoltaic (PV) power prediction is mainly used to prevent photovoltaic
power generation fluctuations, grid overvoltage, reverse current, and islanding effects. At the …
power generation fluctuations, grid overvoltage, reverse current, and islanding effects. At the …
Short-Term Photovoltaic Power Output Prediction Based on k-Fold Cross-Validation and an Ensemble Model
R Zhu, W Guo, X Gong - Energies, 2019 - mdpi.com
Short-term photovoltaic power forecasting is of great significance for improving the operation
of power systems and increasing the penetration of photovoltaic power. To improve the …
of power systems and increasing the penetration of photovoltaic power. To improve the …
Short-term photovoltaic power forecasting based on a feature rise-dimensional two-layer ensemble learning model
H Wang, S Yan, D Ju, N Ma, J Fang, S Wang, H Li… - Sustainability, 2023 - mdpi.com
Photovoltaic (PV) power generation has brought about enormous economic and
environmental benefits, promoting sustainable development. However, due to the …
environmental benefits, promoting sustainable development. However, due to the …
A short-term probabilistic photovoltaic power prediction method based on feature selection and improved LSTM neural network
R Liu, J Wei, G Sun, SM Muyeen, S Lin, F Li - Electric Power Systems …, 2022 - Elsevier
With the increase of solar photovoltaic (PV) penetration in power system, the impact of
random fluctuation of PV power on the secure operation of power grid becomes more and …
random fluctuation of PV power on the secure operation of power grid becomes more and …
A day-ahead photovoltaic power prediction via transfer learning and deep neural networks
Climate change and global warming drive many governments and scientists to investigate
new renewable and green energy sources. Special attention is on solar panel technology …
new renewable and green energy sources. Special attention is on solar panel technology …
Deep Learning Based Prediction Method of Long-term Photovoltaic Power Generation Using Meteorological and Seasonal Information
D Lee, K Kim - Journal of Society for e-Business Studies, 2019 - jsebs.org
Recently, since responding to meteorological changes depending on increasing
greenhouse gas and electricity demand, the importance prediction of photovoltaic power …
greenhouse gas and electricity demand, the importance prediction of photovoltaic power …
A cascaded deep learning framework for photovoltaic power forecasting with multi-fidelity inputs
X Luo, D Zhang - Energy, 2023 - Elsevier
Accurate forecasts of photovoltaic power (PVP) are essential to the production, transmission,
and distribution of electricity in power systems. However, PVP output is strongly weather …
and distribution of electricity in power systems. However, PVP output is strongly weather …
Short-term photovoltaic power forecasting based on historical information and deep learning methods
X Guo, Y Mo, K Yan - Sensors, 2022 - mdpi.com
The accurate prediction of photovoltaic (PV) power is essential for planning power systems
and constructing intelligent grids. However, this has become difficult due to the intermittency …
and constructing intelligent grids. However, this has become difficult due to the intermittency …
Short-term photovoltaic power prediction with similar-day integrated by BP-AdaBoost based on the Grey-Markov model
X Yang, S Wang, Y Peng, J Chen, L Meng - Electric Power Systems …, 2023 - Elsevier
A photovoltaic (PV) power prediction based on similar-day, Grey-Markov model and
AdaBoost is proposed for the impact of similar days on solar output power and the limit of …
AdaBoost is proposed for the impact of similar days on solar output power and the limit of …
Ultra-short-term photovoltaic power prediction based on self-attention mechanism and multi-task learning
Y Ju, J Li, G Sun - Ieee Access, 2020 - ieeexplore.ieee.org
Due to the volatility and randomness of the photovoltaic power generation, it is difficult for
traditional models to predict it accurately. To solve the problem, we established a model …
traditional models to predict it accurately. To solve the problem, we established a model …