Long Short-Term Memory Network and Graph Embedding to Analyze Distributed Photovoltaic Output Characteristics
A hybrid spatiotemporal prediction framework integrating an improved Long Short-Term Memory (LSTM) network with dynamic graph embedding for deep feature mining and coordinated forecasting and offers methodological support for intelligent electromagnetic energy management and resilient smart power systems is proposed.