Analyzing energy poverty using intelligent approach
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DOI: 10.1177/0958305X20907087
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References listed on IDEAS
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Cited by:
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- Milena Nebojsa Rajić & Rado M. Maksimović & Pedja Milosavljević, 2022. "Energy Management Model for Sustainable Development in Hotels within WB6," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
- Zorana Zoran Stanković & Milena Nebojsa Rajic & Zorana Božić & Peđa Milosavljević & Ancuța Păcurar & Cristina Borzan & Răzvan Păcurar & Emilia Sabău, 2024. "The Volatility Dynamics of Prices in the European Power Markets during the COVID-19 Pandemic Period," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
- Lefkothea Papada & Dimitris Kaliampakos, 2024. "Artificial Neural Networks as a Tool to Understand Complex Energy Poverty Relationships: The Case of Greece," Energies, MDPI, vol. 17(13), pages 1-19, June.
- Ren, Zhiyuan & Zhu, Yuhan & Jin, Canyang & Xu, Aiting, 2023. "Social capital and energy poverty: Empirical evidence from China," Energy, Elsevier, vol. 267(C).
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Keywords
Energy poverty; social factors; energy management; data mining; neural network;All these keywords.
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