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Qingyao Qiao

The University of Manchester

United Kingdom

  • The University of Manchester

SCHOLARLY PAPERS

4

DOWNLOADS

236

TOTAL CITATIONS

5

Scholarly Papers (4)

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1.

Feature Selection Strategy for Machine Learning Methods in Building Energy Consumption Prediction

Number of pages: 51 Posted: 30 Apr 2022
Qingyao Qiao, Akilu Yunusa-Kaltungo and Rodger Edwards
The University of Manchester, The University of Manchester and The University of Manchester
Downloads 161 (464,454)
Citation 5

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building, energy consumption prediction, Feature Selection, delay effect

2.

Development of a Chance-Constrained Stochastic Programming Strategy for Optimal Design of Building Integrated Energy Systems Under Multiple Uncertainties for Nearly Zero-Energy Buildings

Number of pages: 37 Posted: 01 Jan 2026
Debin Zhang, Wenye Lin, Qingyao Qiao, Wenji Song, Ziping Feng, Jinshi Wang, Xinglan Cui and Adarsh Kumar Pandey
affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Manchester, Guangzhou Institute of Energy Conversion, Guangzhou Institute of Energy Conversion, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 53 (1,052,702)

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Chance-constrained stochastic programming, Building integrated energy systems, Renewable energy penetration, System reliability, Nearly zero-energy buildings

3.

Thermo-Electrical Multimodal Cross-Attention Model for Decoupling Diagnosis of Compound Faults in Photovoltaic Arrays

Number of pages: 38 Posted: 09 Jun 2026
Bingsen Wang, Wenye Lin, Xiaolong Li, Piero Baraldi, Enrico Zio, Long Shi, Qingyao Qiao, Wenji Song and Ziping Feng
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Polytechnic University of Milan, Polytechnic University of Milan, University of Science and Technology of China (USTC), The University of Manchester, Guangzhou Institute of Energy Conversion and Guangzhou Institute of Energy Conversion
Downloads 16

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Photovoltaic arrays, Compound fault diagnosis, Thermo-electrical signals, Multimodal data fusion, Cross-attention mechanism, Fault decoupling

4.

Thermo-Electrical Multimodal Cross-Attention Model for Decoupling Diagnosis of Compound Faults in Photovoltaic Arrays

Number of pages: 38 Posted: 29 Jun 2026
Bingsen Wang, Wenye Lin, Xiaolong Li, Piero Baraldi, Enrico Zio, Long Shi, Qingyao Qiao, Wenji Song and Ziping Feng
Polytechnic University of Milan, affiliation not provided to SSRN, affiliation not provided to SSRN, Polytechnic University of Milan, Polytechnic University of Milan, University of Science and Technology of China (USTC), The University of Manchester, Guangzhou Institute of Energy Conversion and Guangzhou Institute of Energy Conversion
Downloads 6

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Photovoltaic arrays, Compound fault diagnosis, Multimodal data fusion, Cross-attention mechanism, Fault decoupling