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Applications of Data Envelopment Analysis (DEA) for Optimizing Energy Consumptions

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Handbook of Smart Energy Systems

Abstract

The necessity of optimizing energy consumption, which originates from the limitation of energy resources and their growing consumption in societies, has led an increasing attention toward energy conservation. Among various approaches for optimizing energy consumption, Data Envelopment Analysis (DEA) is one which is used in different applications including agricultural production, dairy farms, industries, renewable energy systems, non-renewable energy systems, transportation systems, airlines, etc. Different DEA techniques have been used by researchers in the aforementioned applications for measuring energy efficiency, detecting inefficient DMUs, and improving inefficient sectors for optimizing energy consumption and reducing undesirable environmental impacts caused by extensive use of energy resources. Therefore, in this article we investigated 83 papers among the years 2010–2020 for providing a comprehensive literature review about applications of DEA for energy consumption optimization while investigating distribution of publications based on fields of study, DEA models, region of case studies, journals, year of publications, purpose, results, etc. In this chapter, we provided a context for simplifying the accessibility to previous researches on DEA applications in energy consumption optimization, as well as presenting a comprehensive discussion about distribution of publications based on the publication year, regions of papers’ case studies, journals, applications of DEA for energy optimization, and different types of applied DEA models. Regarding to these investigations, we presented an insight about the potential of DEA in energy optimization for both policy makers and researchers.

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Mohtashami, Z., Khedmati, M., Eshghi, K. (2023). Applications of Data Envelopment Analysis (DEA) for Optimizing Energy Consumptions. In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-97940-9_49

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