Artificial Neural Networks as a Tool to Understand Complex Energy Poverty Relationships: The Case of Greece
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Energy poverty in the UK: Is there a difference between rural and urban areas?," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204213, Agricultural Economics Society.
- Abbas, Khizar & Butt, Khalid Manzoor & Xu, Deyi & Ali, Muhammad & Baz, Khan & Kharl, Sanwal Hussain & Ahmed, Mansoor, 2022. "Measurements and determinants of extreme multidimensional energy poverty using machine learning," Energy, Elsevier, vol. 251(C).
- Dalla Longa, Francesco & Sweerts, Bart & van der Zwaan, Bob, 2021. "Exploring the complex origins of energy poverty in The Netherlands with machine learning," Energy Policy, Elsevier, vol. 156(C).
- Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Developing the energy profile of mountainous areas," Energy, Elsevier, vol. 107(C), pages 205-214.
- Ntaintasis, E. & Mirasgedis, S. & Tourkolias, C., 2019. "Comparing different methodological approaches for measuring energy poverty: Evidence from a survey in the region of Attika, Greece," Energy Policy, Elsevier, vol. 125(C), pages 160-169.
- Milena N Rajić & Miroslav B Milovanović & Dragan S Antić & Rado M Maksimović & Pedja M Milosavljević & Dragan Lj Pavlović, 2020. "Analyzing energy poverty using intelligent approach," Energy & Environment, , vol. 31(8), pages 1448-1472, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Takako Mochida & Andrew Chapman & Benjamin Craig McLellan, 2025. "Exploring Energy Poverty: Toward a Comprehensive Predictive Framework," Energies, MDPI, vol. 18(10), pages 1-23, May.
- Elpida Kalfountzou & Lefkothea Papada & Christos Tourkolias & Sevastianos Mirasgedis & Dimitris Kaliampakos & Dimitris Damigos, 2025. "A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction," Energies, MDPI, vol. 18(5), pages 1-20, February.
- Urszula Grzybowska & Agnieszka Wojewódzka-Wiewiórska & Gintarė Vaznonienė & Hanna Dudek, 2024. "Households Vulnerable to Energy Poverty in the Visegrad Group Countries: An Analysis of Socio-Economic Factors Using a Machine Learning Approach," Energies, MDPI, vol. 17(24), pages 1-23, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Elpida Kalfountzou & Lefkothea Papada & Christos Tourkolias & Sevastianos Mirasgedis & Dimitris Kaliampakos & Dimitris Damigos, 2025. "A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction," Energies, MDPI, vol. 18(5), pages 1-20, February.
- Balkissoon, Sarah & Fox, Neil & Lupo, Anthony & Haupt, Sue Ellen & Penny, Stephen G. & Miller, Steve J. & Beetstra, Margaret & Sykuta, Michael & Ohler, Adrienne, 2024. "Forecasting energy poverty using different machine learning techniques for Missouri," Energy, Elsevier, vol. 313(C).
- Fu Wang & Hong Geng & Donglan Zha & Chaoqun Zhang, 2023. "Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 45-78, August.
- Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
- Esperanza Vera‐Toscano & Heather Brown, 2022. "Empirical Evidence on the Incidence and Persistence of Energy Poverty in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 55(4), pages 515-529, December.
- Deller, David & Turner, Glen & Waddams Price, Catherine, 2021. "Energy poverty indicators: Inconsistencies, implications and where next?," Energy Economics, Elsevier, vol. 103(C).
- Spandagos, Constantine & Tovar Reaños, Miguel & Lynch, Muireann Á, 2023. "Energy poverty prediction and effective targeting for just transitions with machine learning," Papers WP762, Economic and Social Research Institute (ESRI).
- Lin Zheng & Eoghan McKenna, 2025. "Machine Learning with Administrative Data for Energy Poverty Identification in the UK," Energies, MDPI, vol. 18(12), pages 1-26, June.
- Spandagos, Constantine & Tovar Reaños, Miguel Angel & Lynch, Muireann Á., 2023. "Energy poverty prediction and effective targeting for just transitions with machine learning," Energy Economics, Elsevier, vol. 128(C).
- Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
- Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017.
"Beyond average energy consumption in the French residential housing market: A household classification approach,"
Energy Policy, Elsevier, vol. 107(C), pages 82-95.
- Emmanuel Hache & Déborah Leboullenger & Valérie Mignon, 2016. "Beyond average energy consumption in the French residential housing market: A household classification approach," Post-Print hal-01386095, HAL.
- Emmanuel Hache & Déborah Leboullenger & Valérie Mignon, 2016. "Beyond average energy consumption in the French residential housing market: A household classification approach," Working Papers hal-02475511, HAL.
- Emmanuel Hache & Déborah Leboullenger & Valérie Mignon, 2016. "Beyond average energy consumption in the French residential housing market: A household classification approach," Post-Print hal-01386101, HAL.
- Emmanuel Hache & Déborah Leboullenger & Valérie Mignon, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Post-Print hal-01586597, HAL.
- Emmanuel Hache & Déborah Leboullenger & Valérie Mignon, 2016. "Beyond average energy consumption in the French residential housing market: A household classification approach," Working Papers hal-04141605, HAL.
- Emmanuel Hache & Déborah Leboullenger & Valérie Mignon, 2016. "Beyond average energy consumption in the French residential housing market: A household classification approach," EconomiX Working Papers 2016-6, University of Paris Nanterre, EconomiX.
- Rodriguez-Alvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021.
"Alleviating energy poverty in Europe: Front-runners and laggards,"
Energy Economics, Elsevier, vol. 103(C).
- Rodríguez-Álvarez, Ana & Llorca, Manuel & Jamasb, Tooraj, 2021. "Alleviating Energy Poverty in Europe: Front-runners and Laggards," Working Papers 12-2021, Copenhagen Business School, Department of Economics.
- Ioanna Kyprianou & Despina Serghides & Harriet Thomson & Salvatore Carlucci, 2023. "Learning from the Past: The Impacts of Economic Crises on Energy Poverty Mortality and Rural Vulnerability," Energies, MDPI, vol. 16(13), pages 1-13, July.
- Cheng, Zhiming & Guo, Liwen & Smyth, Russell & Tani, Massimiliano, 2022.
"Childhood adversity and energy poverty,"
Energy Economics, Elsevier, vol. 111(C).
- Cheng, Zhiming & Guo, Liwen & Smyth, Russell & Tani, Massimiliano, 2021. "Childhood Adversity and Energy Poverty," IZA Discussion Papers 14809, Institute of Labor Economics (IZA).
- Łukasz Mamica & Jakub Głowacki & Kamil Makieła, 2021. "Determinants of the Energy Poverty of Polish Students during the COVID-19 Pandemic," Energies, MDPI, vol. 14(11), pages 1-15, June.
- Best, Rohan & Sinha, Kompal, 2021. "Fuel poverty policy: Go big or go home insulation," Energy Economics, Elsevier, vol. 97(C).
- Semple, Torran & Rodrigues, Lucelia & Harvey, John & Figueredo, Grazziela & Nica-Avram, Georgiana & Gillott, Mark & Milligan, Gregor & Goulding, James, 2024. "An empirical critique of the low income low energy efficiency approach to measuring fuel poverty," Energy Policy, Elsevier, vol. 186(C).
- Fateh Belaid, 2020.
"Fuel Poverty Exposure and Drivers: A Comparison of Vulnerability Landscape between Egypt and Jordan,"
Working Papers
1392, Economic Research Forum, revised 20 Apr 2020.
- Fateh Belaid, 2020. "Fuel Poverty Exposure and Drivers: A Comparison of Vulnerability Landscape Between Egypt and Jordan," LIS Working papers 789, LIS Cross-National Data Center in Luxembourg.
- Belaïd, Fateh, 2022.
"Mapping and understanding the drivers of fuel poverty in emerging economies: The case of Egypt and Jordan,"
Energy Policy, Elsevier, vol. 162(C).
- Fateh Belaïd, 2022. "Mapping and understanding the drivers of fuel poverty in emerging economies: The case of Egypt and Jordan," Post-Print hal-04542365, HAL.
- Li, Jiajia & Yang, Shiyu & Li, Jun & Li, Houjian, 2024. "Targeting SDG7: Identifying heterogeneous energy dilemmas for socially disadvantaged groups in India using machine learning," Energy Economics, Elsevier, vol. 138(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3163-:d:1423469. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.