Qian Liu | Data-Driven Building Energy Management | Excellence in Research Award

Ms. Qian Liu | Data-Driven Building Energy Management | Excellence in Research Award

Shandong Jianzhu University | China

Ms. Qian Liu is an emerging researcher in building energy systems and data-driven energy analytics, with a focused scholarly contribution to electricity consumption forecasting and energy efficiency in the built environment. Her research emphasizes advanced machine learning methodologies, particularly multi-model ensemble learning and cross-domain robust stacking techniques, to improve the accuracy and reliability of heating-season electricity demand prediction. She has authored 3 research documents, which have collectively received 1 citation from 1 citing document, and she currently holds an h-index of 1, reflecting early but measurable academic impact. Her recent work published in Energy and Buildings (2026) demonstrates the integration of heterogeneous models to enhance predictive performance across varying climatic and operational conditions, offering practical insights for smart energy management and sustainable building operations. Overall, her research contributes to the growing intersection of energy engineering, artificial intelligence, and building performance optimization, supporting data-informed decision-making for future low-energy and resilient building systems.

Citation Metrics (Scopus)

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Featured Publications

Chen Lu- Energy storage – Best Researcher Award

Chen Lu- Energy storage – Best Researcher Award

Ms. Chen Lu  distinguished academic and researcher in the field Energy storage.

🌐 Professional Profile

Educations📚📚📚

Chen Lu received the bachelor’s degreein engineering from Qingdao University of Technology, China,in 2022. She is currently pursuing the master’sdegree in engineering management with the Qingdao University of Technology. Her research interests include project management.

Work Experience:

In recent years, Chen Lu has been engaged in research in the field of energy and sustainable development. It mainly focuses on the development and utilization of renewable energy, the innovation of energy conversion and energy storage technology, the improvement of energy utilization efficiency, the combination of technological innovation and the Internet, and the promotion of policies and regulations. These innovative measures help achieve sustainable energy development and promote harmonious coexistence between man and nature

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📝🔬Publications📝🔬
  • ,Optimal site selection for wind-photovoltaic-complemented storage power plants based on Geographic Information System and Grey Relational Analysis-Group Criteria Importance Through Inter Criteria Correlation-Interactive and Multicriteria Decision Making: A case study of China

    Journal of Energy StorageThis link is disabled., 2024, 92, 112148

  • A study on site selection of wind power plant based on prospect theory and VIKOR: a case study in China