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Big Data and Energy Poverty Alleviation

Research Institute of Energy Management and Planning, University of Tehran, Tehran 1417466191, Iran
Department of Accounting, Islamic Azad University, Central Tehran Branch, Tehran 1955847781, Iran
Department of Tourism, Faculty of Economic Sciences, Ionian University, Galinos Building, 7 Tsirigoti Square, 49100 Corfu, Greece
Department of Economics and Business, Saint Anselm College, 100 Saint Anselm Drive, Manchester, NH 03103, USA
Department of International Relations and Energy Policies, Azad University of Tehran, North Branch, Vafadar Blvd., Shahid Sadoughi St. Hakimieh Exit, Shahid Babaee Highway, Tehran 1651153311, Iran
Author to whom correspondence should be addressed.
Big Data Cogn. Comput. 2019, 3(4), 50;
Received: 11 June 2019 / Revised: 3 September 2019 / Accepted: 16 September 2019 / Published: 24 September 2019
The focus of this paper is to bring to light the vital issue of energy poverty alleviation and how big data could improve the data collection quality and mechanism. It also explains the vicious circle of low productivity, health risk, environmental pollution and energy poverty and presents currently used energy poverty measures and alleviation policies and stresses the associated problems in application due to the underlying dynamics. View Full-Text
Keywords: energy poverty alliteration; big data energy poverty alliteration; big data
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MDPI and ACS Style

Hassani, H.; Yeganegi, M.R.; Beneki, C.; Unger, S.; Moradghaffari, M. Big Data and Energy Poverty Alleviation. Big Data Cogn. Comput. 2019, 3, 50.

AMA Style

Hassani H, Yeganegi MR, Beneki C, Unger S, Moradghaffari M. Big Data and Energy Poverty Alleviation. Big Data and Cognitive Computing. 2019; 3(4):50.

Chicago/Turabian Style

Hassani, Hossein, Mohammad R. Yeganegi, Christina Beneki, Stephan Unger, and Mohammad Moradghaffari. 2019. "Big Data and Energy Poverty Alleviation" Big Data and Cognitive Computing 3, no. 4: 50.

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