Effective RNN-Based Forecasting Methodology Design for Improving Short-Term Power Load Forecasts: Application to Large-Scale Power-Grid Time Series

Computer Science

• Recurrent Neural Network 100%
• Transmission System 100%
• Gated Recurrent Unit 66%
• Moving Average 33%
• Sliding Window 33%
• Multivariate Time Series 33%
• Time Series Data 33%
• Supervised Learning 33%
• Statistical Model 33%
• discrete-time 33%
• Extracted Data 33%

Engineering

• Power Grid 100%
• Recurrent 66%
• Recurrent Neural Network 33%
• Metrics 33%
• Moving Average 33%
• Data Series 33%
• Statistical Model 33%
• Measured Data 33%
• Load Forecasting 33%
• Discrete Time 33%