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A multi-dimension clustering-based method for renewable energy investment planning

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Listed:
  • Liu, Aaron
  • Miller, Wendy
  • Cholette, Michael E.
  • Ledwich, Gerard
  • Crompton, Glenn
  • Li, Yong

Abstract

As electricity prices and environmental awareness increase, more customers are becoming interested in installing distributed renewable generation, such as rooftop photovoltaic systems. Yearly load profile data could become very relevant to these customers to help them to time efficiently and accurately determine optimal energy investments for these customers.

Suggested Citation

  • Liu, Aaron & Miller, Wendy & Cholette, Michael E. & Ledwich, Gerard & Crompton, Glenn & Li, Yong, 2021. "A multi-dimension clustering-based method for renewable energy investment planning," Renewable Energy, Elsevier, vol. 172(C), pages 651-666.
    • Handle: RePEc:eee:renene:v:172:y:2021:i:c:p:651-666
    DOI: 10.1016/j.renene.2021.03.056
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    References listed on IDEAS

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    1. Huang, Nantian & Zhao, Xuanyuan & Guo, Yu & Cai, Guowei & Wang, Rijun, 2023. "Distribution network expansion planning considering a distributed hydrogen-thermal storage system based on photovoltaic development of the Whole County of China," Energy, Elsevier, vol. 278(C).

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