Optimal load dispatch for electric heating users based on CNN-BiLSTM model
Author:
Affiliation:
1. Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China
2. Jiangsu Yunsong Clean Energy Investment Holding Co., Ltd.,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587791.pdf?arnumber=10587791
Reference14 articles.
1. Research on modeling of flexible load characteristics and adjustable potential of thermal storage electric heating[J];Huaru;High Voltage Technology,2022
2. Modeling of regional electrical heating load characteristics considering user response behavior difference
3. The Influence of Electric Heating Equipment on the Load Characteristics of Jilin Province
4. Multi-attribute decision analysis for optimal design of park-level integrated energy systems based on load characteristics
5. Hierarchical Optimization and Scheduling of Distributed Electric Heating Based on Deep Reinforcement Learning;Tianyang
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