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ARTÍCULO
TITULO

Big Data and Energy Poverty Alleviation

Hossein Hassani    
Mohammad Reza Yeganegi    
Christina Beneki    
Stephan Unger and Mohammad Moradghaffari    

Resumen

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.