.png){kind=icon}
返回
Intelligent Data-Driven Decision-Making Method for Dynamic Multisequence: An E-Seq2Seq-Based SCUC Expert System
.png){kind=icon}
PRE
AI
DOI：10.1109/TII.2021.3107406.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Under the background of the rapid change of energy technology and the deep integration of artificial intelligence into the power system, it is of great significance to study the intelligent decision-making method of security-constrained unit commitment (SCUC) with high adaptability and high accuracy. Thus, in this article, an expanded sequence-to-sequence (E-Seq2Seq)-based data-driven SCUC expert system for dynamic multiple-sequence mapping samples is proposed. First, dynamic multiple-sequence mapping samples of SCUC are reconstructed by analyzing the input-output sequence characteristics. Then, an E-Seq2Seq approach with a multiple-encoder-decoder architecture and a fully connected extension layer is proposed. On this basis, the simple recurrent unit is introduced as a neuron of the E-Seq2Seq approach to construct deep learning models, and an intelligent data-driven expert system for SCUC is further developed. The proposed approach has been simulated on a typical IEEE 118-bus system and a practical system in Hunan province in China. The results indicate that the proposed approach could possess strong generality, high solution accuracy, and efficiency over traditional methods.
Keyword:
Decision making
Expert systems
Load modeling
Power system dynamics
Training
Schedules
Predictive models
Data-driven
deep learning
expanded sequence-to-sequence
security-constrained unit commitment
simple recurrent unit
期刊
IF:
9.9
论文数:
8.6K
被引数:
6.0W
机构
引用论文
Chronic Lymphocytic Leukemia B Cells Express Functional CXCR4 Chemokine Receptors That Mediate Spontaneous Migration Beneath Bone Marrow Stromal Cells.png)
Blood
BloodIF0
PREAI
分享收藏Conserved and Distinct Modes of CREB/ATF Transcription Factor Regulation by PP2A/B56γ and Genotoxic StressPLoS ONE
OAAI
PLoS ONEIF0
OAAI分享收藏Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem安全约束机组组合问题的自适应鲁棒优化OAAI
OAAI分享收藏RETRACTED: Multi-objective energy management in microgrids with hybrid energy sources and battery energy storage systems (Retracted article. See vol. 7, 2022)收回: 具有混合能源和电池储能系统的微电网中的多目标能量管理 (收回的文章。见第7卷，2022)
OAAI
OAAI分享收藏
查看更多内容