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

<div>Our proposed ITRH framework. We adopt this strategy with a well-established electricity forecasting model to optimize the operational scheduling of BESS.</div>

Computational Intelligence and Neuroscience

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Figure 1: Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting 

Figure 1 | Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting 