Decomposition strategy and attention-based long short-term memory network for multi-step ultra-short-term agricultural power load forecasting[Formula presented]

Keyphrases

• Agriculture 100%
• Attention-based 100%
• Long Short-term Memory Network 100%
• Power Load Forecasting 100%
• Decomposition Strategy 100%
• Time Series Forecasting Model 75%
• Dual-stage Attention-based Recurrent Neural Network 75%
• Decomposition Stages 50%
• Forecast Horizon 50%
• Power Load 50%
• Ensemble Empirical Mode Decomposition 50%
• Univariate Time Series Forecasting 50%
• Southern China 25%
• Selected Features 25%
• Attention Mechanism 25%
• Safe Operation 25%
• Multi-step Prediction 25%
• Stable Operation 25%
• Decomposition Algorithm 25%
• Electricity Network 25%
• Attention-based Recurrent Neural Network 25%
• Targeted Sequencing 25%
• Characteristic Information 25%
• Commercial Load 25%
• Univariate Time Series 25%
• Industrial Load 25%
• Derived Variables 25%
• Residential Load 25%
• Evaluation Indicator 25%
• Weather Service 25%
• Ablation Model 25%
• Rural Electricity 25%
• Load Data 25%
• Multivariate Time Series Prediction 25%

Engineering

• Long Short-Term Memory 100%
• Load Forecasting 100%
• Recurrent Neural Network 100%
• Load Power 50%
• Empirical-Mode Decomposition 50%
• Influencing Factor 25%
• Step Prediction 25%
• Electricity Network 25%

Chemical Engineering

• Recurrent Neural Network 100%
• Long Short-Term Memory 100%