16 results on '"Zheng, Xidong"'
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2. A new optimization approach considering demand response management and multistage energy storage: A novel perspective for Fujian Province
3. A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data integration: A new provincial perspective of China
4. A novel hierarchical power allocation strategy considering severe wind power fluctuations for wind-storage integrated systems
5. A new demand response management strategy considering renewable energy prediction and filtering technology
6. An innovative method-based CEEMDAN–IGWO–GRU hybrid algorithm for short-term load forecasting
7. Research on Start-stop standby energy storage element participating in wind power filtering under the influence of power quality disturbance
8. A reliable optimization method of hybrid energy storage system based on standby storage element and secondary entropy strategy
9. A New Macro Dynamic Demand Response Strategy Considering Micro Power Quality Disturbance for Wind-Storage Integrated System
10. A new optimization approach considering demand response management and multistage energy storage: A novel perspective for Fujian Province
11. A new methodology to improve wind power prediction accuracy considering power quality disturbance dimension reduction and elimination
12. 1A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data integration: A new provincial perspective of China
13. A New Macro Dynamic Demand Response Strategy Considering Micro Power Quality Disturbance for Wind-Storage Integrated System
14. A reliable method of wind power fluctuation smoothing strategy based on multidimensional non‐linear exponential smoothing short‐term forecasting
15. Load Forecast of Electric Vehicle Charging Station Considering Multi-Source Information and User Decision Modification
16. A Reliable Short‐Term Power Load Forecasting Method Based on VMD‐IWOA‐LSTM Algorithm
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