Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting

<div>The result of single-step prediction. The horizontal axis represents a different time, the vertical axis is electricity price, the black line denotes real electricity price data, and the red line is EEMD-VMD-CNN prediction. The predicted and the real curve closely fit each other.</div>

Computational Intelligence and Neuroscience

fig10

Figure 10

Figure 10: Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting 

Figure 10 | Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting 