A5062573254- Hybrid Renewable Energy Systems
- Integrated Energy Systems Optimization
- Energy Load and Power Forecasting
- Spacecraft and Cryogenic Technologies
- Electric Power System Optimization
- Solar Radiation and Photovoltaics
- Microgrid Control and Optimization
- Wind Energy Research and Development
- Grey System Theory Applications
South China University of Technology
2022-2024
Accurate medium- and long-term electricity peak load forecasting is critical for power system operation, planning, trading. However, challenging because of the complex nonlinear relationship between related factors. Here, we propose a hybrid LSTM–BPNN-to-BPNN model combining long short-term memory network (LSTM) back propagation neural (BPNN) to separately extract features historical data future information. Their outputs are then concatenated vector inputted into next BPNN obtain final...
This paper proposes a bi-level robust planning model to address the rational configuration of hydrogen energy system, accounting for impact wind power uncertainty in an integrated electricity–heat–hydrogen system (IEHHES) with increasing penetration. The upper-level problem aims determine capacity this whereas lower-level is formulated as two-stage optimization simulate typical daily operational scheme considering uncertain turbine output and on/off switching devices. considers multiple...