Tao Ding
Researcher / author (OpenAlex)
Facts
2 properties- Instance of
- human
- Affiliation
- Northeast Electric Power University, Jilin Electric Power Research Institute (China), Aero Engine Corporation of China, Fuzhou University, Xi'an Jiaotong University, Tsinghua 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
- 0000-0002-7590-0172
- OpenAlex ID
- A5010781360, A5121244732, A5124961926, A5128279367, A5128788301, A5133064320, A5134810920, A5135269410, A5136806499, A5137085023, A5140735932as 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
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 105
A Bayesian Deep Learning-Based Probabilistic Risk Assessment and Early-Warning Model for Power Systems Considering Meteorological Conditions,
A Decentralized Market Model for a Microgrid With Carbon Emission Rights,
Adjustable robust optimal power flow with the price of robustness for large‐scale power systems,
A generic physics-informed neural network framework for lithium-ion batteries state of health estimation,
A hybrid deep learning model for short‐term load forecasting of distribution networks integrating the channel attention mechanism,
A linear Distflow model considering line shunts for fast calculation and voltage control of power distribution systems,
A Machine Learning-Based Reliability Evaluation Model for Integrated Power-Gas Systems,
A Machine Learning-Based Vulnerability Analysis for Cascading Failures of Integrated Power-Gas Systems
+97 more
← Authored by 105
A Bayesian Deep Learning-Based Probabilistic Risk Assessment and Early-Warning Model for Power Systems Considering Meteorological Conditions,
A Decentralized Market Model for a Microgrid With Carbon Emission Rights,
Adjustable robust optimal power flow with the price of robustness for large‐scale power systems,
A generic physics-informed neural network framework for lithium-ion batteries state of health estimation,
A hybrid deep learning model for short‐term load forecasting of distribution networks integrating the channel attention mechanism,
A linear Distflow model considering line shunts for fast calculation and voltage control of power distribution systems,
A Machine Learning-Based Reliability Evaluation Model for Integrated Power-Gas Systems,
A Machine Learning-Based Vulnerability Analysis for Cascading Failures of Integrated Power-Gas Systems
+97 more
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