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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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    1. Talent, Orlando & Du, Haiping, 2018. "Optimal sizing and energy scheduling of photovoltaic-battery systems under different tariff structures," Renewable Energy, Elsevier, vol. 129(PA), pages 513-526.
    2. Beaudin, Marc & Zareipour, Hamidreza, 2015. "Home energy management systems: A review of modelling and complexity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 318-335.
    3. Kaabeche, A. & Belhamel, M. & Ibtiouen, R., 2011. "Sizing optimization of grid-independent hybrid photovoltaic/wind power generation system," Energy, Elsevier, vol. 36(2), pages 1214-1222.
    4. Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2014. "Integration of PV and BES units in commercial distribution systems considering energy loss and voltage stability," Applied Energy, Elsevier, vol. 113(C), pages 1162-1170.
    5. Calise, Francesco & Cappiello, Francesco Liberato & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2020. "Dynamic modelling and thermoeconomic analysis of micro wind turbines and building integrated photovoltaic panels," Renewable Energy, Elsevier, vol. 160(C), pages 633-652.
    6. Zhou, Bin & Xu, Da & Chan, Ka Wing & Li, Canbing & Cao, Yijia & Bu, Siqi, 2017. "A two-stage framework for multiobjective energy management in distribution networks with a high penetration of wind energy," Energy, Elsevier, vol. 135(C), pages 754-766.
    7. Roselli, C. & Diglio, G. & Sasso, M. & Tariello, F., 2019. "A novel energy index to assess the impact of a solar PV-based ground source heat pump on the power grid," Renewable Energy, Elsevier, vol. 143(C), pages 488-500.
    8. Dario Cottafava & Giulia Sonetti & Paolo Gambino & Andrea Tartaglino, 2018. "Explorative Multidimensional Analysis for Energy Efficiency: DataViz versus Clustering Algorithms," Energies, MDPI, vol. 11(5), pages 1-18, May.
    9. Li, Kehua & Ma, Zhenjun & Robinson, Duane & Ma, Jun, 2018. "Identification of typical building daily electricity usage profiles using Gaussian mixture model-based clustering and hierarchical clustering," Applied Energy, Elsevier, vol. 231(C), pages 331-342.
    10. Marczinkowski, Hannah Mareike & Østergaard, Poul Alberg, 2018. "Residential versus communal combination of photovoltaic and battery in smart energy systems," Energy, Elsevier, vol. 152(C), pages 466-475.
    11. Schütz, Thomas & Schraven, Markus Hans & Fuchs, Marcus & Remmen, Peter & Müller, Dirk, 2018. "Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis," Renewable Energy, Elsevier, vol. 129(PA), pages 570-582.
    12. Pfeifer, Antun & Krajačić, Goran & Ljubas, Davor & Duić, Neven, 2019. "Increasing the integration of solar photovoltaics in energy mix on the road to low emissions energy system – Economic and environmental implications," Renewable Energy, Elsevier, vol. 143(C), pages 1310-1317.
    13. Sun, M. & Teng, F. & Konstantelos, I. & Strbac, G., 2018. "An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources," Energy, Elsevier, vol. 145(C), pages 871-885.
    14. Long, Chao & Wu, Jianzhong & Zhou, Yue & Jenkins, Nick, 2018. "Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid," Applied Energy, Elsevier, vol. 226(C), pages 261-276.
    15. Meschede, Henning, 2020. "Analysis on the demand response potential in hotels with varying probabilistic influencing time-series for the Canary Islands," Renewable Energy, Elsevier, vol. 160(C), pages 1480-1491.
    16. Damian Shaw-Williams & Connie Susilawati & Geoffrey Walker, 2018. "Value of Residential Investment in Photovoltaics and Batteries in Networks: A Techno-Economic Analysis," Energies, MDPI, vol. 11(4), pages 1-25, April.
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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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