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A meta-analytic approach for determining the success factors for energy conservation

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  • Ahir, Rajesh K.
  • Chakraborty, Basab

Abstract

This study aims to identify the factors decisive for realizing energy conservation through data analytics. A meta-analytic based approach is used to present the comprehensive and statistical summary of 40 empirical studies that are based on residential electricity consumption data. A set of inclusion criteria is considered for the selection of studies, and the obtained results were graphically presented using a forest plot. The qualitative analysis of the studies revealed that by appropriately utilizing the crucial factors, namely, ‘comparison with others’, ‘frequency’, ‘mix of other interventions’, ‘energy granularity’, ‘study quality and ‘channel to provide analysis’ are essential for realizing the energy conservation by employing consumption data analytics. The combined effect of the included studies was found to be statistically significant. The strongest and the most favorable association between meta-factors (‘comparison with neighbors’, ‘combination with the goal’, ‘sample size’, ‘data availability’, ‘daily frequency’, ‘appliance-specific analysis’, ‘web portal/mobile app’) and energy conservation was examined. The implications of this study can be employed by electric utilities for better planning of energy conservation activities.

Suggested Citation

  • Ahir, Rajesh K. & Chakraborty, Basab, 2021. "A meta-analytic approach for determining the success factors for energy conservation," Energy, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221010690
    DOI: 10.1016/j.energy.2021.120821
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    Cited by:

    1. Mitra, Somalee & Chakraborty, Basab & Mitra, Pabitra, 2024. "Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions," Energy, Elsevier, vol. 289(C).

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