Evaluating the EEMD-LSTM model for short-term forecasting of industrial power load: A case study in Vietnam.
This paper presents the effectiveness of the ensemble empirical mode decomposition-long
short-term memory (EEMD-LSTM) model for short term load prediction. The prediction …
short-term memory (EEMD-LSTM) model for short term load prediction. The prediction …
Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model
V Mohanasundaram, B Rangaswamy - Scientific Reports, 2025 - nature.com
As the global energy demand continues to produce, photovoltaic (PV) solar energy has
emerged as a key Renewable Energy Source (RES) due to its sustainability and potential to …
emerged as a key Renewable Energy Source (RES) due to its sustainability and potential to …
Short-term forecasting of solar radiation using a hybrid model of CNN-LSTM integrated with EEMD
Nowadays, renewable energy gradually become indispensable sources all over the world
such as solar energy, wind energy, tidal energy, etc. In terms of solar energy, solar radiation …
such as solar energy, wind energy, tidal energy, etc. In terms of solar energy, solar radiation …