A novel hybrid intelligent approach for solar photovoltaic power prediction considering UV index and cloud cover

Earth and Planetary Sciences

• Cloud Cover 100%
• Weather Condition 100%
• Solar Power 100%
• Solar Energy 100%
• Energy Generation 75%
• Irradiance 50%
• Wind Velocity 50%
• Long Short-Term Memory Network 50%
• Hybrid Model 50%
• Long Short-Term Memory 50%
• Root-Mean-Square Error 25%
• Meteorological Factors 25%

Engineering

• Solar Photovoltaic 100%
• Photovoltaic Power 100%
• Cloud Cover 100%
• Deep Learning Method 40%
• Solar Energy 20%
• Hybrid Model 20%
• Meteorological Condition 20%
• Solar Power Generation 20%
• Irradiance 20%
• Long Short-Term Memory 20%
• Lstm 20%
• Convolutional Neural Network 20%
• Power Generation 10%
• Power System Operation 10%
• Root Mean Square Error 10%
• Photovoltaics 10%
• Mean Square Error 10%