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Replication Data for Chen, V.L., Delmas, M.A., Locke S., Singh, A. 2017. Information Strategies for Energy Conservation: A Field Experiment in India. Energy Economics.

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for Chen, V.L., Delmas, M.A., Locke S., Singh, A. 2017. Information Strategies for Energy Conservation: A Field Experiment in India. Energy Economics.
 
Identifier https://doi.org/10.7910/DVN/7MEXN4
 
Creator DELMAS, MAGALI A
 
Publisher Harvard Dataverse
 
Description The data presented in this article are related to the research article entitled: “Information Strategies for Energy Conservation: A Field Experiment in India” (Victor L. Chen, Magali A. Delmas, Stephen L. Locke, Amarjeet Singh, 2017).The availability of high-resolution electricity data offers benefits to both utilities and consumers to understand the dynamics of energy consumption for example, between billing periods or times of peak demand. However, few public datasets with high-temporal resolution have been available to researchers on electricity use, especially at the appliance-level. In this article, we describe data collected in a residential field experiment for 19 apartments at an Indian faculty housing complex during the period from August 1, 2013 to May 12, 2014. The dataset includes detailed information about electricity consumption. It also includes information on apartment characteristics and hourly weather variation to enable further studies of energy performance. These data can be used by researchers as training datasets to evaluate electricity usage consumption.
 
Subject Business and Management
Computer and Information Science
Earth and Environmental Sciences
Engineering
Social Sciences
Energy Conservation
Information Strategies
Energy Feedback
Field Experiment
 
Language English
 
Date 2014
 
Contributor DELMAS, MAGALI
 
Type Electricity Consumption