Research on distribution network expansion planning based on load feature library and load simultaneous rate
Author:
Affiliation:
1. State Grid Jiangsu Electric Power Co.,Ltd. Research Institute,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9836326/9836330/09836907.pdf?arnumber=9836907
Reference13 articles.
1. A Short-Term Load Forecasting Model Based on Improved Random Forest Algorithm
2. Multi-Channel Physiological Signal Emotion Recognition Based on ReliefF Feature Selection
3. Wavelet Threshold De-noising of Power Quality Signals
4. Electricity load classification using K-means clustering algorithm
5. Optimization of distribution network topology based on CIM model
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1. Multiple-Zone Synchronous Voltage Regulation and Loss Reduction Optimization of Distribution Networks Based on a Dual Rotary Phase-Shifting Transformer;Sustainability;2024-01-25
2. Load Library Construction and Self-learning Method Based on Cloud-Edge Collaboration;2022 2nd International Conference on Electrical Engineering and Control Science (IC2ECS);2022-12-16
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