Abstract
The data presented in this article are related to the research article entitled: “Information strategies for energy conservation: a field experiment in India” (Chen et al., 2017) [1]. 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. This article describes 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.
Highlights
The data presented in this article are related to the research article entitled: “Information strategies for energy conservation: a field experiment in India” (Chen et al, 2017) [1]
Aggregate electricity consumption was measured for each participating household
Field Site: Indraprastha Institute of Information Technology faculty housing apartments, New Delhi, India Data is available at https://dataverse.harvard.edu/dataset.xhtml?persis tentId 1⁄4 doi:10.7910/DVN/7MEXN4
Summary
Experimental data The electricity use data was collected at the field site by direct measurement during the period from August 1, 2013 to May 12, 2014. Stata .dta files The dataset includes information about electricity consumption, weather, apartment, and household characteristics. Aggregate electricity consumption was measured for each participating household. Field Site: Indraprastha Institute of Information Technology faculty housing apartments, New Delhi, India Data is available at https://dataverse.harvard.edu/dataset.xhtml?persis tentId 1⁄4 doi:10.7910/DVN/7MEXN4. The data described in this article was acquired 24 h a day in a field experiment at Indraprastha Institute of Information Technology in New Delhi, India during the period from August 1, 2013 to May 12, 2014. The raw data includes (i) time stamp; (ii) electricity consumption in kilowatt-hour (kWh) per unit time; (iii) weather data; (iv) engagement with the treatment messages and online energy dashboard; and (v) apartment dwelling and occupancy characteristics, which do not vary with time during data collection. Each successive row represents a 15 min, 30 min, hour, or daily increment
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