Electric load forecasting under False Data Injection Attacks using deep learning

Engineering

• Electric Load Forecasting 100%
• Deep Learning 100%
• Power Grid 66%
• Electric Loads 66%
• Load Forecasting 66%
• Autoencoder 66%
• Electric Power Distribution 33%
• Cyber Attack 33%
• Acquired Data 33%
• Energy Market 33%
• Quality Data 33%
• Accurate Prediction 33%
• Convolutional Neural Network 33%
• Economic Efficiency 33%
• Long Short-Term Memory 33%

Computer Science

• False Data Injection Attacks 100%
• Deep Learning 100%
• Forecasting Method 100%
• Learning Framework 66%
• Autoencoder 66%
• Scheduling Scheme 33%
• Essential Aspect 33%
• Distribution Network 33%
• Memory Model 33%
• Data Integrity 33%
• Cyber Attack 33%
• Long Short-Term Memory Network 33%
• data grid 33%
• Convolutional Neural Network 33%
• Economic Efficiency 33%

Keyphrases

• Electric Load Forecasting 100%
• C-LSTM 33%
• Electricity Consumers 33%
• Real-world Noise 33%
• Tabriz 33%
• Data Injection Attack 33%
• Autoencoder Convolutional Neural Network 33%
• Generator Scheduling 33%
• Resilient Power Grid 33%