Short-term forecasting of residential electricity demand using CNN-LSTM

INIS

• demand 100%
• electricity 100%
• forecasting 100%
• layers 75%
• energy demand 75%
• prediction 50%
• neural networks 50%
• data 25%
• randomness 25%
• planning 25%
• comparative evaluations 25%
• algorithms 25%
• units 25%
• energy consumption 25%
• learning 25%
• efficiency 25%
• trains 25%
• management 25%
• one-dimensional calculations 25%
• architecture 25%
• policy 25%
• households 25%
• forests 25%
• scotland 25%
• energy systems 25%

Engineering

• Electricity Demand 100%
• Lstm 100%
• Convolutional Neural Network 100%
• One Dimensional 33%
• Moving Average 33%
• Convolutional Layer 33%
• Random Forest 33%
• Energy Consumption Data 33%
• Dense Layer 33%
• Provide Energy 33%
• Energy Systems 33%
• Max 33%
• Light Gradient Boosting Machine 33%
• Long Short-Term Memory 33%
• Deep Learning Method 33%
• Deep Neural Network 33%