Tingqi Zhang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Electric Power Research Institute, Shanghai Electric, The First Affiliated Hospital of Zhejiang University School of Medicine, State Key Laboratory of Industrial Control Technology, Zhejiang University of Technology, Zhejiang Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-6121-3435
- OpenAlex ID
- A5001061999as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
A Bayesian Deep Reinforcement Learning-Based Resilient Control for Multi-Energy Micro-Gird,
A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment,
An ETCEN-Based Motion Coordination Strategy Avoiding Active and Passive Deadlocks for Multi-AGV System,
A neural network based multi-state scheduling algorithm for multi-AGV system in FMS,
Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading,
Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience,
Hybrid Multiagent Reinforcement Learning for Electric Vehicle Resilience Control Towards a Low-Carbon Transition,
Short-Term Load Forecasting Based on Mutual Information and BI-LSTM Considering Fluctuation in Importance Values of Features
+1 more
← Authored by 9
A Bayesian Deep Reinforcement Learning-Based Resilient Control for Multi-Energy Micro-Gird,
A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment,
An ETCEN-Based Motion Coordination Strategy Avoiding Active and Passive Deadlocks for Multi-AGV System,
A neural network based multi-state scheduling algorithm for multi-AGV system in FMS,
Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading,
Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience,
Hybrid Multiagent Reinforcement Learning for Electric Vehicle Resilience Control Towards a Low-Carbon Transition,
Short-Term Load Forecasting Based on Mutual Information and BI-LSTM Considering Fluctuation in Importance Values of Features
+1 more
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Summary
Tingqi Zhang is a human[1].