Hengzhen Wang

ORCID: 0009-0005-5581-3572
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About
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Research Areas
  • Energy Load and Power Forecasting
  • Electric Power System Optimization
  • Power Systems and Renewable Energy
  • Smart Grid Energy Management
  • Thermal Analysis in Power Transmission
  • Power Transformer Diagnostics and Insulation
  • Integrated Energy Systems Optimization
  • Smart Grid and Power Systems
  • Power Systems and Technologies

Harbin Institute of Technology
2023-2024

Heilongjiang Institute of Technology
2024

With the development goal of a low-cost and low-carbon reserve market, this paper proposes dynamic assessment method for day-ahead consumption service demand considering forecast error uncertainty power. The iterative self-organizing data analysis techniques algorithm is adopted to cluster historical actual power into typical scenarios. In addition, online matching between scenario conducted. order realize hierarchical quantification demand, resources in whole system are classified according...

10.3390/en16165979 article EN cc-by Energies 2023-08-15
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