Smart Grid Load Forecasting Models Using Recurrent Neural Network and Long Short-Term Memory

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Forecasting Energy Consumption in Smart Grids: A Comparative Analysis of Recurrent Neural Networks2024 · 8 citations
2. 2Multivariate time series prediction by RNN architectures for energy consumption forecasting2022 · 216 citations
3. 3Smart Home Energy Consumption Forecasting Using LSTM2025
4. 4Comparative study of long short-term memory (LSTM), bidirectional LSTM, and traditional machine learning approaches for energy consumption prediction2024 · 124 citations
5. 5Comparative Study of Long Short-Term Memory (LSTM), Bidirectional LSTM, and Traditional Machine Learning Approaches for Energy Consumption Prediction2024 · 18 citations