Predictive Modeling of Terminal Node Eligibility Assessment in Power Load Management Using Neural Network-Reference-Cited by-同舟云学术

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Predictive Modeling of Terminal Node Eligibility Assessment in Power Load Management Using Neural Network

Published:2024-05-31 Issue: Volume:35 Page:713-717
ISSN:
Container-title:2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)
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Author:

Li Bin¹,Zhang Kaibo¹,Wang Shuyang²,Yu Haoyang³,Guo Qiang⁴,Ren Mingyuan⁵,Chen Ke⁶

Affiliation:

1. North China Electric Power University,School of Electric and Electronic Engineering,Beijing,China

2. China Electric Power Research Institute,Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique,Beijing,China

3. State Grid Yichun Electric Power Supply Company,China

4. State Grid Changyi Electric Power Supply Company,China

5. State Grid Gansu Electric Power Company,China

6. China Electric Power Research,Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10667475/10667476/10667533.pdf?arnumber=10667533

Reference10 articles.

1. Energy cost and carbon emission minimization for hybrid grid-independent microgrid using rule-based energy management scheme

2. Reconstructing training data from trained neural networks[J];Haim;Advances in Neural Information Processing Systems,2022

3. An IoT based Intelligent Smart Energy Management System with accurate forecasting and load strategy for renewable generation

4. Energy management system for smart grid: An overview and key issues

5. Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

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