Boosting energy harvesting via deep learning-based renewable power generation prediction

Computer Science

• Deep Learning 100%
• Energy Generation 100%
• Renewable Power 100%
• Energy Consumption 66%
• Echo State Network 66%
• Machine Learning 33%
• Deep Learning Model 33%
• Level Variation 33%
• Historical Data 33%
• Convolutional Neural Network 33%
• Weather Condition 33%
• Smart Grid 33%
• Representation Learning 33%
• Feature Vector 33%
• Recent Literature 33%
• Convolutional Network 33%
• Temporal Feature 33%
• Production Resource 33%

Engineering

• Deep Learning 100%
• Power Generation 100%
• Renewables 100%
• Energy Harvesting 100%
• Energy Engineering 40%
• Network State 40%
• Hybrid Model 40%
• Historical Data 20%
• Convolutional Neural Network 20%
• Metrics 20%
• Renewable Energy 20%
• Feature Vector 20%
• Smart Grid 20%
• End-Users 20%
• Power Supply 20%
• Load Forecasting 20%
• Generation Resource 20%
• Renewable Conversion 20%

Keyphrases

• Varying Weather Conditions 50%
• Generation Forecasting 50%
• Normalized Root-mean-square Error (NRMSE) 50%