Zehao Song

ORCID: 0009-0004-0403-1610
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Smart Grid Energy Management
  • Smart Grid Security and Resilience
  • Electric Power System Optimization
  • Infrastructure Maintenance and Monitoring
  • Integrated Energy Systems Optimization
  • BIM and Construction Integration
  • Occupational Health and Safety Research
  • Advanced Data and IoT Technologies

Tsinghua University
2024

Tsinghua–Berkeley Shenzhen Institute
2024

University of Cambridge
2022

Abstract The demand response (DR) program is an effective solution to promote the low‐carbon operation of power systems with increasing penetration renewable energy sources (RESs). This paper proposes a DR for enhance both environmental friendliness and uncertainty resilience system operation. operator aims minimize system's cost carbon trading cost. To handle associated stochastic RES generation load consumption power, data‐driven method named two‐sided distributionally robust...

10.1049/rpg2.13021 article EN cc-by IET Renewable Power Generation 2024-06-10

Crew management is critical towards improving construction task productivity. Traditional methods for crew on-site are heavily dependent on the experience of site managers. This paper proposes an end-to-end Gated Recurrent Units (GRU) based framework which provides managers a more reliable and robust method managing crews The proposed predicts productivity all possible combinations, within given size, from pool available workers using advanced GRU model. model has been trained with existing...

10.7146/aul.455.c210 article EN 2022-06-20
Coming Soon ...